Heike Trautmann
Fakultät für Elektrotechnik, Informatik und Mathematik
htrautm@mail.uni-paderborn.deID
130 Publications
2024 | Book Chapter | LibreCat-ID: 52759
Preuß, Oliver Ludger, Jeroen Rook, and Heike Trautmann. “On the Potential of Multi-Objective Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimisation Problems.” In Applications of Evolutionary Computation. Cham: Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-56852-7_20.
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2024 | Conference Paper | LibreCat-ID: 52749
Vinzent Seiler, Moritz, Jeroen Rook, Jonathan Heins, Oliver Ludger Preuß, Jakob Bossek, and Heike Trautmann. “Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP.” In 2023 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 2024. https://doi.org/10.1109/ssci52147.2023.10372008.
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2023 | Conference Paper | LibreCat-ID: 47522
Prager, Raphael Patrick, Konstantin Dietrich, Lennart Schneider, Lennart Schäpermeier, Bernd Bischl, Pascal Kerschke, Heike Trautmann, and Olaf Mersmann. “Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features.” In Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 129–139. FOGA ’23. New York, NY, USA: Association for Computing Machinery, 2023. https://doi.org/10.1145/3594805.3607136.
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2023 | Conference Paper | LibreCat-ID: 46297
Prager, Raphael Patrick, and Heike Trautmann. “Nullifying the Inherent Bias of Non-Invariant Exploratory Landscape Analysis Features.” In Applications of Evolutionary Computation, edited by João Correia, Stephen Smith, and Raneem Qaddoura, 411–425. Cham: Springer Nature Switzerland, 2023.
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2023 | Conference Paper | LibreCat-ID: 46298
Schäpermeier, Lennart, Pascal Kerschke, Christian Grimme, and Heike Trautmann. “Peak-A-Boo! Generating Multi-Objective Multiple Peaks Benchmark Problems with Precise Pareto Sets.” In Evolutionary Multi-Criterion Optimization, edited by Michael Emmerich, André Deutz, Hao Wang, Anna V. Kononova, Boris Naujoks, Ke Li, Kaisa Miettinen, and Iryna Yevseyeva, 291–304. Cham: Springer Nature Switzerland, 2023.
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2023 | Journal Article | LibreCat-ID: 46299
Prager, Raphael Patrick, and Heike Trautmann. “Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python.” Evolutionary Computation, 2023, 1–25. https://doi.org/10.1162/evco_a_00341.
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2023 | Journal Article | LibreCat-ID: 46310
Heins, Jonathan, Jakob Bossek, Janina Pohl, Moritz Seiler, Heike Trautmann, and Pascal Kerschke. “A Study on the Effects of Normalized TSP Features for Automated Algorithm Selection.” Theoretical Computer Science 940 (2023): 123–45. https://doi.org/10.1016/j.tcs.2022.10.019.
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2023 | Conference Paper | LibreCat-ID: 52530
Prager, Raphael Patrick, and Heike Trautmann. “Investigating the Viability of Existing Exploratory Landscape Analysis Features for Mixed-Integer Problems.” In Companion Proceedings of the Conference on Genetic and Evolutionary Computation, GECCO 2023, Companion Volume, Lisbon, Portugal, July 15-19, 2023, edited by Sara Silva and Luís Paquete, 451–454. ACM, 2023. https://doi.org/10.1145/3583133.3590757.
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2023 | Conference Paper | LibreCat-ID: 48898
Seiler, Moritz Vinzent, Jeroen Rook, Jonathan Heins, Oliver Ludger Preuß, Jakob Bossek, and Heike Trautmann. “Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP.” In 2023 IEEE Symposium Series on Computational Intelligence (SSCI), 361–68, n.d. https://doi.org/10.1109/SSCI52147.2023.10372008.
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2022 | Book Chapter | LibreCat-ID: 46300
Niemann, Marco, Dennis Assenmacher, Jens Brunk, Dennis Maximilian Riehle, Jörg Becker, and Heike Trautmann. “(Semi-)Automatische Kommentarmoderation Zur Erhaltung Konstruktiver Diskurse.” In Hate Speech — Definitionen, Ausprägungen, Lösungen, edited by Gerrit Weitzel and Stephan Mündges, 249–274. Wiesbaden: VS Verlag für Sozialwissenschaften, 2022. https://doi.org/10.1007/978-3-658-35658-3_13.
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2022 | Conference Paper | LibreCat-ID: 46301
Assenmacher, D, and Heike Trautmann. “Textual One-Pass Stream Clustering with Automated Distance Threshold Adaption.” In Intelligent Information and Database Systems, edited by T et al. Tran, 3–16. Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-031-21743-2_1.
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2022 | Journal Article | LibreCat-ID: 46316
Assenmacher, Dennis, Derek Weber, Mike Preuss, André Calero Valdez, Alison Bradshaw, Björn Ross, Stefano Cresci, Heike Trautmann, Frank Neumann, and Christian Grimme. “Benchmarking Crisis in Social Media Analytics: A Solution for the Data-Sharing Problem.” Social Science Computer Review 40, no. 6 (2022): 1496–1522. https://doi.org/10.1177/08944393211012268.
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2022 | Conference Paper | LibreCat-ID: 46306
Schneider, Lennart, Lennart Schäpermeier, Raphael Patrick Prager, Bernd Bischl, Heike Trautmann, and Pascal Kerschke. “HPO x ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis.” In Parallel Problem Solving from Nature — PPSN XVII, edited by Günter Rudolph, Anna V. Kononova, Hernán Aguirre, Pascal Kerschke, Gabriela Ochoa, and Tea Tušar, 575–589. Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-031-14714-2_40.
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2022 | Conference Paper | LibreCat-ID: 46307
Seiler, Moritz Vinzent, Raphael Patrick Prager, Pascal Kerschke, and Heike Trautmann. “A Collection of Deep Learning-Based Feature-Free Approaches for Characterizing Single-Objective Continuous Fitness Landscapes.” In Proceedings of the Genetic and Evolutionary Computation Conference, 657–665. New York, NY, USA: Association for Computing Machinery, 2022. https://doi.org/10.1145/3512290.3528834.
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2022 | Conference Paper | LibreCat-ID: 46304
Prager, Raphael Patrick, Moritz Vinzent Seiler, Heike Trautmann, and Pascal Kerschke. “Automated Algorithm Selection in Single-Objective Continuous Optimization: A Comparative Study of Deep Learning and Landscape Analysis Methods.” In Parallel Problem Solving from Nature — PPSN XVII, edited by Günter Rudolph, Anna V. Kononova, Hernán Aguirre, Pascal Kerschke, Gabriela Ochoa, and Tea Tušar, 3–17. Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-031-14714-2_1.
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2022 | Conference Paper | LibreCat-ID: 46303
Pohl, Janina Susanne, Dennis Assenmacher, Moritz Vincent Seiler, Heike Trautmann, and Christian Grimme. “Artificial Social Media Campaign Creation for Benchmarking and Challenging Detection Approaches.” In Workshop Proceedings of the 16$^th$ International Conference on Web and Social Media (ICWSM), edited by for the Advancement of Artificial Intelligence (AAAI) Association, 1–10. Palo Alto, CA, USA: AAAI Press, 2022. https://doi.org/10.36190/2022.91.
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2022 | Conference Paper | LibreCat-ID: 46305
Rook, J, Heike Trautmann, J Bossek, and C Grimme. “On the Potential of Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimization Problems.” In Proceedings of the Genetic and Evolutionary Computation Conference Companion, edited by J Fieldsend and M. Wagner, 356–359–356–359. GECCO ’22. New York, NY, USA: Association for Computing Machinery, 2022. https://doi.org/10.1145/3520304.3528998.
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2022 | Journal Article | LibreCat-ID: 46309
Clever, Lena, Janina Susanne Pohl, Jakob Bossek, Pascal Kerschke, and Heike Trautmann. “Process-Oriented Stream Classification Pipeline: A Literature Review.” Applied Sciences 12, no. 8 (2022): 1–44. https://doi.org/10.3390/app12189094.
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2022 | Journal Article | LibreCat-ID: 46308
Aspar, Pelin, Vera Steinhoff, Lennart Schäpermeier, Pascal Kerschke, Heike Trautmann, and Christian Grimme. “The Objective That Freed Me: A Multi-Objective Local Search Approach for Continuous Single-Objective Optimization.” Natural Computing 1 (2022): 1–15. https://doi.org/10.1007/s11047-022-09919-w.
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2022 | Conference Paper | LibreCat-ID: 46302
Heins, J, J Rook, L Schäpermeier, P Kerschke, J Bossek, and Heike Trautmann. “BBE: Basin-Based Evaluation of Multimodal Multi-Objective Optimization Problems.” In Parallel Problem Solving from Nature — PPSN XVII, edited by G Rudolph, AV Kononova, H Aguirre, P Kerschke, G Ochoa, and T Tušar, 192–206. Cham: Springer International Publishing, 2022.
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2022 | Journal Article | LibreCat-ID: 52532
Rodrigues, Agatha S., Pascal Kerschke, Carlos Alberto De Bragança Pereira, Heike Trautmann, Carolin Wagner, Bernd Hellingrath, and Adriano Polpo. “Estimation of Component Reliability from Superposed Renewal Processes by Means of Latent Variables.” Comput. Stat. 37, no. 1 (2022): 355–379. https://doi.org/10.1007/S00180-021-01124-0.
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2021 | Journal Article | LibreCat-ID: 46318
Grimme, Christian, Pascal Kerschke, Pelin Aspar, Heike Trautmann, Mike Preuss, André H. Deutz, Hao Wang, and Michael Emmerich. “Peeking beyond Peaks: Challenges and Research Potentials of Continuous Multimodal Multi-Objective Optimization.” Computers & Operations Research 136 (2021): 105489. https://doi.org/10.1016/j.cor.2021.105489.
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2021 | Conference Paper | LibreCat-ID: 46313
Heins, Jonathan, Jakob Bossek, Janina Pohl, Moritz Seiler, Heike Trautmann, and Pascal Kerschke. “On the Potential of Normalized TSP Features for Automated Algorithm Selection.” In Proceedings of the 16$^th$ ACM/SIGEVO Conference on Foundations of Genetic Algorithms (FOGA XVI), edited by for Computing Machinery Association, 1–15. Dornbirn, Austria: Association for Computing Machinery, 2021. https://doi.org/10.1145/3450218.3477308.
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2021 | Conference Paper | LibreCat-ID: 46311
Aspar, Pelin, Pascal Kerschke, Vera Steinhoff, Heike Trautmann, and Christian Grimme. “Multi^3: Optimizing Multimodal Single-Objective Continuous Problems in the Multi-Objective Space by Means of Multiobjectivization.” In Evolutionary Multi-Criterion Optimization: 11$^th$ International Conference, EMO 2021, Shenzhen, China, March 28–31, 2021, Proceedings, edited by H. et al. Ishibuchi, 311–322. Heidelberg, Berlin: Springer, 2021. https://doi.org/10.1007/978-3-030-72062-9_25.
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2021 | Journal Article | LibreCat-ID: 46317
Coombs, Crispin, Patrick Stacey, Peter Kawalek, Boyka Simeonova, Jörg Becker, Katrin Bergener, João Álvaro Carvalho, et al. “What Is It About Humanity That We Can’t Give Away To Intelligent Machines? A European Perspective.” International Journal of Information Management 58 (2021). https://doi.org/10.1016/j.ijinfomgt.2021.102311.
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2021 | Conference Paper | LibreCat-ID: 46315
Prager, Raphael Patrick, Moritz Vinzent Seiler, Heike Trautmann, and Pascal Kerschke. “Towards Feature-Free Automated Algorithm Selection for Single-Objective Continuous Black-Box Optimization.” In 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 1–8, 2021. https://doi.org/10.1109/SSCI50451.2021.9660174.
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2021 | Conference Paper | LibreCat-ID: 46312
Assenmacher, Dennis, Marco Niemann, Kilian Müller, Moritz V. Seiler, Dennis M. Riehle, and Heike Trautmann. “RP-Mod & RP-Crowd: Moderator- and Crowd-Annotated German News Comment Datasets.” In Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1 (NeurIPS Datasets and Benchmarks 2021), 1–14. Virtual Event, 2021.
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2020 | Conference Paper | LibreCat-ID: 46319
Assenmacher, D, L Adam, Heike Trautmann, and C Grimme. “Towards Real-Time and Unsupervised Campaign Detection in Social Media.” In Proceedings of the Florida Artificial Intelligence Research Society Conference. Florida, USA, 2020.
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2020 | Conference Paper | LibreCat-ID: 46328
Prager, Raphael Patrick, Heike Trautmann, Hao Wang, Thomas H. W. Bäck, and Pascal Kerschke. “Per-Instance Configuration of the Modularized CMA-ES by Means of Classifier Chains and Exploratory Landscape Analysis.” In Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI), 996–1003. Canberra, Australia, 2020. https://doi.org/10.1109/SSCI47803.2020.9308510.
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2020 | Conference Paper | LibreCat-ID: 46320
Assenmacher, D, L Clever, JS Pohl, Heike Trautmann, and C Grimme. “A Two-Phase Framework for Detecting Manipulation Campaigns in Social Media.” In Proceedings of the International Conference on Human-Computer Interaction (HCII 2020): Social Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis, edited by G Meiselwitz, 201–214. Cham: Springer International Publishing, 2020. https://doi.org/10.1007/978-3-030-49570-1_14.
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2020 | Conference Paper | LibreCat-ID: 46325
Carnein, Matthias, Heike Trautmann, Albert Bifet, and Bernhard Pfahringer. “Towards Automated Configuration of Stream Clustering Algorithms.” In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD ’19), 137–143. Würzburg, Germany, 2020. https://doi.org/10.1007/978-3-030-43823-4_12.
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2020 | Conference Paper | LibreCat-ID: 46321
Assenmacher, Dennis, Lena Frischlich , Heike Trautmann, Christian Grimme, and Lena Adam. “Inside the Tool Set of Automation: Free Social Bot Code Revisited.” In Disinformation in Open Online Media, edited by Christian Grimme, Mike Preuß, Frank Takes, and Annie Waldherr, 101–114. Lecture Notes in Computer Science. Wiesbaden: Springer, 2020.
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2020 | Conference Paper | LibreCat-ID: 46326
Carnein, Matthias, Heike Trautmann, Albert Bifet, and Bernhard Pfahringer. “ConfStream: Automated Algorithm Selection and Configuration of Stream Clustering Algorithms.” In Proceedings of the 14$^th$ Learning and Intelligent Optimization Conference (LION 2020), 80–95. Athens, Greece, 2020. https://doi.org/10.1007/978-3-030-53552-0_10.
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2020 | Conference Paper | LibreCat-ID: 46324
Bossek, Jakob, Pascal Kerschke, and Heike Trautmann. “Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection.” In Proceedings of the IEEE Congress on Evolutionary Computation (CEC), 1–8. Glasgow, UK: IEEE, 2020.
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2020 | Conference Paper | LibreCat-ID: 46322
Bossek, Jakob, Christian Grimme, Günter Rudolph, and Heike Trautmann. “Towards Decision Support in Dynamic Bi-Objective Vehicle Routing.” In Proceedings of the IEEE Congress on Evolutionary Computation (CEC), 1–8. Glasgow, UK, 2020. https://doi.org/10.1109/CEC48606.2020.9185778.
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2020 | Conference Paper | LibreCat-ID: 46323
Bossek, Jakob, Christian Grimme, and Heike Trautmann. “Dynamic Bi-Objective Routing of Multiple Vehicles.” In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO ’20), 166–174. Cancun, Mexico: ACM, 2020.
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2020 | Conference Paper | LibreCat-ID: 46327
Lena, Clever, Lena Frischlich, Heike Trautmann, and Christian Grimme. “Automated Detection of Nostalgic Text in the Context of Societal Pessimism.” In Disinformation in Open Online Media, edited by Christian Grimme, Mike Preuß, Frank Takes, and Annie Waldherr, 48–58. Hamburg, Deutschland, 2020.
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2020 | Conference Paper | LibreCat-ID: 46330
Seiler, Moritz V, Janina Pohl, Jakob Bossek, Pascal Kerschke, and Heike Trautmann. “Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem.” In Proceedings of the 16$^th$ International Conference on Parallel Problem Solving from Nature (PPSN XVI), edited by Thomas Bäck, Mike Preuss, André Deutz, Hao Wang, Carola Doerr, Michael Emmerich, and Heike Trautmann, 48–64. Leiden, The Netherlands, 2020. https://doi.org/10.1007/978-3-030-58112-1_4.
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2020 | Conference Paper | LibreCat-ID: 46329
Riehle, Dennis M., Marco Niemann, Jens Brunk, Dennis Assenmacher, Heike Trautmann, and Jörg Becker. “Building an Integrated Comment Moderation System – Towards a Semi-Automatic Moderation Tool.” In Social Computing and Social Media. Participation, User Experience, Consumer Experience, and Applications of Social Computing, edited by Gabriele Meiselwitz, 71–86. Cham: Springer International Publishing, 2020.
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2020 | Journal Article | LibreCat-ID: 46333
Assenmacher, Dennis, Lena Clever, Lena Frischlich, Thorsten Quandt, Heike Trautmann, and Christian Grimme. “Demystifying Social Bots: On the Intelligence of Automated Social Media Actors.” Social Media + Society 6, no. 3 (2020): 2056305120939264. https://doi.org/10.1177/2056305120939264.
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2020 | Journal Article | LibreCat-ID: 46334
Bossek, Jakob, Pascal Kerschke, and Heike Trautmann. “A Multi-Objective Perspective on Performance Assessment and Automated Selection of Single-Objective Optimization Algorithms.” Applied Soft Computing 88 (2020): 105901. https://doi.org/10.1016/j.asoc.2019.105901.
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2020 | Conference Paper | LibreCat-ID: 46331
Seiler, Moritz Vinzent, Heike Trautmann, and Pascal Kerschke. “Enhancing Resilience of Deep Learning Networks By Means of Transferable Adversaries.” In Proceedings of the International Joint Conference on Neural Networks (IJCNN), 1–8. Glasgow, UK, 2020. https://doi.org/10.1109/IJCNN48605.2020.9207338.
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2020 | Conference Paper | LibreCat-ID: 46332
Steinhoff, Vera, Pascal Kerschke, Pelin Aspar, Heike Trautmann, and Christian Grimme. “Multiobjectivization of Local Search: Single-Objective Optimization Benefits From Multi-Objective Gradient Descent.” In Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI), 2445–2452. Canberra, Australia, 2020. https://doi.org/10.1109/SSCI47803.2020.9308259.
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2019 | Conference Paper | LibreCat-ID: 46338
Bossek, Jakob, Christian Grimme, Stephan Meisel, Günter Rudolph, and Heike Trautmann. “Bi-Objective Orienteering: Towards a Dynamic Multi-Objective Evolutionary Algorithm.” In Evolutionary Multi-Criterion Optimization (EMO), edited by Kalyanmoy Deb, Erik Goodman, Coello Carlos A. Coello, Kathrin Klamroth, Kaisa Miettinen, Sanaz Mostaghim, and Patrick Reed, 11411:516–528. Lecture Notes in Computer Science. East Lansing, Michigan, USA: Springer International Publishing, 2019. https://doi.org/10.1007/978-3-030-12598-1_41.
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2019 | Conference Paper | LibreCat-ID: 46343
Grimme, Christian, Pascal Kerschke, and Heike Trautmann. “Multimodality in Multi-Objective Optimization — More Boon than Bane?” In Proceedings of the 10$^th$ International Conference on Evolutionary Multi-Criterion Optimization (EMO), edited by Kalyanmoy Deb, Erik Goodman, Coello Carlos A. Coello, Kathrin Klamroth, Kaisa Miettinen, Sanaz Mostaghim, and Patrick Reed, 11411:126–138. Lecture Notes in Computer Science. East Lansing, MI, USA: Springer, 2019. https://doi.org/10.1007/978-3-030-12598-1_11.
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2019 | Journal Article | LibreCat-ID: 46345
Kerschke, Pascal, Holger H Hoos, Frank Neumann, and Heike Trautmann. “Automated Algorithm Selection: Survey and Perspectives.” Evolutionary Computation (ECJ) 27, no. 1 (2019): 3–45. https://doi.org/10.1162/evco_a_00242.
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2019 | Conference Paper | LibreCat-ID: 46339
Bossek, Jakob, Pascal Kerschke, Aneta Neumann, Markus Wagner, Frank Neumann, and Heike Trautmann. “Evolving Diverse TSP Instances by Means of Novel and Creative Mutation Operators.” In Proceedings of the 15$^th$ ACM/SIGEVO Workshop on Foundations of Genetic Algorithms (FOGA XV), edited by Tobias Friedrich, Carola Doerr, and Dirk Arnold, 58–71. Potsdam, Germany, 2019. https://doi.org/10.1145/3299904.3340307.
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2019 | Conference Paper | LibreCat-ID: 46337
Bossek, J, and Heike Trautmann. “Multi-Objective Performance Measurement: Alternatives to PAR10 and Expected Running Time.” In Learning and Intelligent Optimization, edited by R Battiti, M Brunato, I Kotsireas, and P Pardalos, 11353:215–219. Lecture Notes in Computer Science. Cham: Springer, 2019.
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2019 | Journal Article | LibreCat-ID: 46344
Carnein, Matthias, and Heike Trautmann. “Optimizing Data Stream Representation: An Extensive Survey on Stream Clustering Algorithms.” Business and Information Systems Engineering (BISE) 61, no. 3 (2019): 277–297.
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2019 | Conference Paper | LibreCat-ID: 46340
Carnein, Matthias, Leschek Homann, Heike Trautmann, and Gottfried Vossen. “A Recommender System Based on Omni-Channel Customer Data.” In Proceedings of the 21$^st$ IEEE Conference on Business Informatics (CBI’ 19), 65–74. Moscow, Russia, 2019.
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2019 | Conference Paper | LibreCat-ID: 46341
Carnein, Matthias, and Heike Trautmann. “Customer Segmentation Based on Transactional Data Using Stream Clustering.” In Proceedings of the 23$^rd$ Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD ’19), 280–292. Macau, China, 2019.
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2019 | Conference Paper | LibreCat-ID: 46342
Grimme, Christian, Pascal Kerschke, Michael T M Emmerich, Mike Preuss, André H Deutz, and Heike Trautmann. “Sliding to the Global Optimum: How to Benefit from Non-Global Optima in Multimodal Multi-Objective Optimization.” In AIP Conference Proceedings, 020052-1-020052–54. Leiden, The Netherlands: AIP Publishing, 2019. https://doi.org/10.1063/1.5090019.
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2019 | Book Chapter | LibreCat-ID: 46336
Kerschke, Pascal, and Heike Trautmann. “Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-Package Flacco.” In Applications in Statistical Computing, edited by Nadja Bauer, Katja Ickstadt, Karsten Lübke, Gero Szepannek, Heike Trautmann, and Maurizio Vichi, 93–123. Springer, 2019. https://doi.org/10.1007/978-3-030-25147-5_7.
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2019 | Book | LibreCat-ID: 46335
Trautmann, Heike. Applications in Statistical Computing — From Music Data Analysis to Industrial Quality Improvement. Studies in Classification, Data Analysis, and Knowledge Organization. Springer International Publishing, 2019.
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2019 | Journal Article | LibreCat-ID: 46346
Kerschke, Pascal, and Heike Trautmann. “Automated Algorithm Selection on Continuous Black-Box Problems By Combining Exploratory Landscape Analysis and Machine Learning.” Evolutionary Computation (ECJ) 27, no. 1 (2019): 99–127. https://doi.org/10.1162/evco_a_00236.
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2019 | Journal Article | LibreCat-ID: 46347
Kerschke, Pascal, Hao Wang, Mike Preuss, Christian Grimme, André Deutz, Heike Trautmann, and Michael Emmerich. “Search Dynamics on Multimodal Multi-Objective Problems.” Evolutionary Computation (ECJ) 27, no. 4 (2019): 577–609. https://doi.org/10.1162/evco_a_00234.
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2018 | Conference Paper | LibreCat-ID: 46350
Engelen, J.E. van, J.J. van Lier, F.W. Takes, and Heike Trautmann. “Accurate WiFi Based Indoor Positioning with Continuous Location Sampling.” In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (ECML/PKDD), 524–540. Dublin, Ireland: Springer, 2018.
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2018 | Conference Paper | LibreCat-ID: 46348
Bossek, Jakob, Christian Grimme, Stephan Meisel, Guenter Rudolph, and Heike Trautmann. “Local Search Effects in Bi-Objective Orienteering.” In Proceedings of the Genetic and Evolutionary Computation Conference, 585–592. GECCO ’18. New York, NY, USA: ACM, 2018. https://doi.org/10.1145/3205455.3205548.
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2018 | Journal Article | LibreCat-ID: 46351
Carnein, Matthias, and Heike Trautmann. “EvoStream — Evolutionary Stream Clustering Utilizing Idle Times.” Big Data Research 14 (2018): 101–111. https://doi.org/10.1016/j.bdr.2018.05.005.
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2018 | Journal Article | LibreCat-ID: 46353
Li, L, Y Wang, Heike Trautmann, N Jing, and M Emmerich. “Multiobjective Evolutionary Algorithms Based on Target Region Preferences.” Swarm and Evolutionary Computation 40 (2018): 196–215. https://doi.org/10.1016/j.swevo.2018.02.006.
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2018 | Journal Article | LibreCat-ID: 46352
Kerschke, Pascal, Lars Kotthoff, Jakob Bossek, Holger H. Hoos, and Heike Trautmann. “Leveraging TSP Solver Complementarity through Machine Learning.” Evolutionary Computation (ECJ) 26, no. 4 (2018): 597–620. https://doi.org/10.1162/evco_a_00215.
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2018 | Conference Paper | LibreCat-ID: 46349
Kerschke, Pascal, Jakob Bossek, and Heike Trautmann. “Parameterization of State-of-the-Art Performance Indicators: A Robustness Study Based on Inexact TSP Solvers.” In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO ’18) Companion, 1737–1744. Kyoto, Japan, 2018. https://doi.org/10.1145/3205651.3208233.
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2017 | Book Chapter | LibreCat-ID: 46355
Adrián, Sosa Hernández V, A Lara, Heike Trautmann, G Rudolph, and O Schütze. “The Directed Search Method for Unconstrained Parameter Dependent Multi-Objective Optimization Problems.” In NEO 15, edited by O Schütze, L Trujillo, P Legrand, and Y Maldonado, 281–330. Cham: Springer International Publishing, 2017. https://doi.org/10.1007/978-3-319-44003-3_12.
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2017 | Conference Paper | LibreCat-ID: 46360
Carnein, Matthias, Markus Heuchert, Leschek Homann, Heike Trautmann, Gottfried Vossen, Jörg Becker, and Karsten Kraume. “Towards Efficient and Informative Omni-Channel Customer Relationship Management.” In Proceedings of the 36$^th$ International Conference on Conceptual Modeling (ER’17), edited by Sergio de Cesare and Frank Ulrich, 10651:69–78. Lecture Notes in Computer Science. Valencia, Spain: Springer International Publishing, 2017. https://doi.org/10.1007/978-3-319-70625-2_7.
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2017 | Conference Paper | LibreCat-ID: 46361
Carnein, Matthias, Leschek Homann, Heike Trautmann, Gottfried Vossen, and Karsten Kraume. “Customer Service in Social Media — An Empirical Study of the Airline Industry.” In Proceedings of the 17$^th$ Conference on Database Systems for Business, Technology, and Web (BTW ’17), edited by Norbert Ritter, Holger Schwarz, Meike Klettke, Andreas Thor, Oliver Kopp, and Matthias Wieland Bernhard, P-266:33–40. Lecture Notes in Informatics (LNI). Stuttgart, Germany: Gesellschaft für Informatik, 2017.
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2017 | Book Chapter | LibreCat-ID: 46356
Li, L, I Yevseyeva, V Basto-Fernandes, Heike Trautmann, N Jing, and M Emmerich. “Building and Using an Ontology of Preference-Based Multiobjective Evolutionary Algorithms.” In Evolutionary Multi-Criterion Optimization: 9$^th$ International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings, edited by H Trautmann, G Rudolph, K Klamroth, O Schütze, M Wiecek, Y Jin, and C Grimme, 406–421. Cham: Springer International Publishing, 2017. https://doi.org/10.1007/978-3-319-54157-0_28.
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2017 | Book Chapter | LibreCat-ID: 46357
Tierney, K, J Handali, C Grimme, and Heike Trautmann. “Multi-Objective Optimization for Liner Shipping Fleet Repositioning.” In Evolutionary Multi-Criterion Optimization: 9$^th$ International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings, edited by H Trautmann, G Rudolph, K Klamroth, O Schütze, M Wiecek, Y Jin, and C Grimme, 622–638. Cham: Springer International Publishing, 2017. https://doi.org/10.1007/978-3-319-54157-0_42.
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2017 | Conference Paper | LibreCat-ID: 46359
Carnein, Matthias, Dennis Assenmacher, and Heike Trautmann. “Stream Clustering of Chat Messages with Applications to Twitch Streams.” In Proceedings of the 36$^th$ International Conference on Conceptual Modeling (ER’17), edited by Sergio de Cesare and Frank Ulrich, 79–88. Valencia, Spain: Springer International Publishing, 2017. https://doi.org/10.1007/978-3-319-70625-2_8.
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2017 | Journal Article | LibreCat-ID: 46362
Grimme, C, M Preuss, L Adam, and Heike Trautmann. “Social Bots: Human-Like by Means of Human Control?” Big Data 5, no. 4 (2017): 279–293. https://doi.org/10.1089/big.2017.0044.
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2017 | Conference Paper | LibreCat-ID: 46358
Carnein, Matthias, Dennis Assenmacher, and Heike Trautmann. “An Empirical Comparison of Stream Clustering Algorithms.” In Proceedings of the ACM International Conference on Computing Frontiers (CF ’17), 361–365. Siena, Italy, 2017. https://doi.org/10.1145/3075564.3078887.
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2016 | Conference Paper | LibreCat-ID: 46364
Blot, A, H Hoos, L Jourdan, M Marmion, and Heike Trautmann. “MO-ParamILS: A Multi-Objective Automatic Algorithm Configuration Framework.” In LION 2016: Learning and Intelligent Optimization, edited by Vanschooren et al. Joaquin, 10079:32–47. LNTCS. Cham: Springer International Publishing, 2016. https://doi.org/10.1007/978-3-319-50349-3_3.
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2016 | Book Chapter | LibreCat-ID: 46363
Rudolph, G, O Schütze, and Heike Trautmann. “On the Closest Averaged Hausdorff Archive for a Circularly Convex Pareto Front.” In Applications of Evolutionary Computation: 19$^th$ European Conference, EvoApplications 2016, Porto, Portugal, March 30 — April 1, 2016, Proceedings, Part II, edited by G Squillero and P Burelli, 42–55. Cham: Springer International Publishing, 2016. https://doi.org/10.1007/978-3-319-31153-1_4.
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2016 | Conference Paper | LibreCat-ID: 46365
Bossek, J, and Heike Trautmann. “Evolving Instances for Maximizing Performance Differences of State-of-The-Art Inexact TSP Solvers.” In Learning and Intelligent Optimization, edited by P Festa, M Sellmann, and J Vanschoren, 10079:48–59. Lecture Notes in Computer Science. Ischia, Italy: Springer International Publishing, 2016. https://doi.org/10.1007/978-3-319-50349-3_4.
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2016 | Conference Paper | LibreCat-ID: 46366
Bossek, J, and Heike Trautmann. “Understanding Characteristics of Evolved Instances for State-of-the-Art Inexact TSP Solvers with Maximum Performance Difference.” In AI*IA 2016 Advances in Artificial Intelligence, edited by G Adorni, S Cagnoni, M Gori, and M Maratea, 10037:3–12. Lecture Notes in Computer Science. Cham: Springer, 2016. https://doi.org/10.1007/978-3-319-49130-1_1.
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2016 | Conference Paper | LibreCat-ID: 46369
Kerschke, Pascal, Hao Wang, Mike Preuss, Christian Grimme, André Deutz, Heike Trautmann, and Michael Emmerich. “Towards Analyzing Multimodality of Multiobjective Landscapes.” In Proceedings of the 14$^th$ International Conference on Parallel Problem Solving from Nature (PPSN XIV), 962–972. Lecture Notes in Computer Science. Edinburgh, Scotland: Springer, 2016. https://doi.org/10.1007/978-3-319-45823-6_90.
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2016 | Conference Paper | LibreCat-ID: 46367
Kerschke, Pascal, Mike Preuss, Simon Wessing, and Heike Trautmann. “Low-Budget Exploratory Landscape Analysis on Multiple Peaks Models.” In Proceedings of the 18$^th$ Annual Conference on Genetic and Evolutionary Computation, 229–236. Denver, CO, USA, 2016. https://doi.org/10.1145/2908812.2908845.
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2016 | Journal Article | LibreCat-ID: 46371
Rudolph, G, O Schütze, C Grimme, C Domínguez-Medina, and Heike Trautmann. “Optimal Averaged Hausdorff Archives for Bi-Objective Problems: Theoretical and Numerical Results.” Computational Optimization and Applications (Comput. Optim. Appl.) 64, no. 2 (2016): 589–618. https://doi.org/10.1007/s10589-015-9815-8.
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2016 | Journal Article | LibreCat-ID: 46372
Schütze, O, Hernandez VA Sosa, Heike Trautmann, and G Rudolph. “The Hypervolume Based Directed Search Method for Multi-Objective Optimization Problems.” Journal of Heuristics 22, no. 3 (2016): 273–300. https://doi.org/10.1007/s10732-016-9310-0.
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2016 | Conference Paper | LibreCat-ID: 46368
Kerschke, Pascal, and Heike Trautmann. “The R-Package FLACCO for Exploratory Landscape Analysis with Applications to Multi-Objective Optimization Problems.” In Proceedings of the IEEE Congress on Evolutionary Computation (CEC). Vancouver, BC, Kanada, 2016. https://doi.org/10.1109/CEC.2016.7748359.
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2016 | Journal Article | LibreCat-ID: 46370
Neumann, F, and Heike Trautmann. “Working Group Report: Bridging the Gap Between Experiments and Theory Using Feature-Based Run-Time Analysis; Theory of Evolutionary Algorithms (Dagstuhl Seminar 15211).” Dagstuhl Reports 5, no. 5 (2016): 78–79. https://doi.org/10.4230/DagRep.5.5.57.
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2015 | Conference Paper | LibreCat-ID: 46373
Chinnov, Andrey, Pascal Kerschke, Christian Meske, Stefan Stieglitz, and Heike Trautmann. “An Overview of Topic Discovery in Twitter Communication through Social Media Analytics.” In Proceedings of the 20$^th$ Americas Conference on Information Systems (AMCIS ’15), 1–10. Puerto Rico, 2015.
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2015 | Conference Paper | LibreCat-ID: 46375
Kerschke, Pascal, Mike Preuss, Simon Wessing, and Heike Trautmann. “Detecting Funnel Structures by Means of Exploratory Landscape Analysis.” In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO ’15), edited by Sara Silva, 265–272. New York, NY, USA: ACM, 2015. https://doi.org/10.1145/2739480.2754642.
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2015 | Conference Paper | LibreCat-ID: 46377
Meisel, Stephan, Christian Grimme, Jakob Bossek, Martin Wölck, Guenter Rudolph, and Heike Trautmann. “Evaluation of a Multi-Objective EA on Benchmark Instances for Dynamic Routing of a Vehicle.” In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO ’15), 425–432. Madrid, Spain, 2015. https://doi.org/10.1145/2739480.2754705.
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2015 | Conference Paper | LibreCat-ID: 46376
Kotthoff, Lars, Pascal Kerschke, Holger Hoos, and Heike Trautmann. “Improving the State of the Art in Inexact TSP Solving Using Per-Instance Algorithm Selection.” In Learning and Intelligent Optimization, edited by Clarisse Dhaenens, Laetitia Jourdan, and Marie-Eléonore Marmion, 202–217. Cham: Springer International Publishing, 2015.
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2015 | Journal Article | LibreCat-ID: 46379
Brockhoff, D, T Wagner, and Heike Trautmann. “R2 Indicator Based Multiobjective Search.” Evolutionary Computation Journal 23, no. 3 (2015): 369–395. https://doi.org/10.1162/EVCO_a_00135.
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2015 | Conference Paper | LibreCat-ID: 46374
Grimme, C, S Meisel, Heike Trautmann, G Rudolph, and M Wölck. “Multi-Objective Analysis of Approaches to Dynamic Routing Of a Vehicle.” In Proceedings of the European Conference On Information Systems. Münster, Germany, 2015.
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2015 | Journal Article | LibreCat-ID: 46380
Mersmann, O, M Preuss, Heike Trautmann, B Bischl, and C Weihs. “Analyzing the BBOB Results by Means of Benchmarking Concepts.” Evolutionary Computation Journal 23, no. 1 (2015): 161–185.
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2014 | Book Chapter | LibreCat-ID: 46381
Kerschke, Pascal, Mike Preuss, Carlos Hernández, Oliver Schütze, Jian-Qiao Sun, Christian Grimme, Günter Rudolph, Bernd Bischl, and Heike Trautmann. “Cell Mapping Techniques for Exploratory Landscape Analysis.” In EVOLVE — A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V, edited by Alexandru-Adrian Tantar, Emilia Tantar, Jian-Qiao Sun, Wei Zhang, Qian Ding, Oliver Schütze, Michael T M Emmerich, Pierrick Legrand, Moral Pierre Del, and Coello Carlos A Coello, 288:115–131. Advances in Intelligent Systems and Computing. Cham: Springer International Publishing, 2014. https://doi.org/10.1007/978-3-319-07494-8_9.
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2014 | Book Chapter | LibreCat-ID: 46382
Rudolph, G, O Schütze, C Grimme, and Heike Trautmann. “A Multiobjective Evolutionary Algorithm Guided by Averaged Hausdorff Distance to Aspiration Sets.” In EVOLVE — A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V, edited by A Tantar, E Tantar, J Sun, W Zhang, Q Ding, O Schütze, M Emmerich, P Legrand, Moral P Del, and Coello CA Coello, 288:261–273. Advances in Intelligent Systems and Computing. Springer International Publishing, 2014. https://doi.org/10.1007/978-3-319-07494-8_18.
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2014 | Conference Paper | LibreCat-ID: 46383
Rudolph, Günter, Christian Grimme, Oliver Schütze, and Heike Trautmann. “An Aspiration Set EMOA Based on Averaged Hausdorff Distances.” In Proceedings of the Learning and Intelligent OptimizatioN Conference (LION 8), 8426:153–156. Lecture Notes in Computer Science. Gainesville, Florida, USA: Springer, 2014.
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2014 | Conference Paper | LibreCat-ID: 46384
Wessing, S, M Preuss, and Heike Trautmann. “Stopping Criteria for Multimodal Optimization.” In Proceedings of the Parallel Problem Solving from Nature — PPSN XIII, edited by T Bartz-Beielstein, J Branke, B Filipic, and J Smith, 8672:141–150. Lecture Notes in Computer Science. Ljubljana, Slovenia: Springer, 2014. https://doi.org/10.1007/978-3-319-10762-2_14.
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2013 | Book Chapter | LibreCat-ID: 46385
Sosa, Hernández V, O Schütze, G Rudolph, and Heike Trautmann. “The Directed Search Method for Pareto Front Approximations with Maximum Dominated Hypervolume.” In EVOLVE — A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation IV, edited by M Emmerich, A Deutz, O Schuetze, T Bäck, A Tantar, PD Moral, P Legrand, P Bouvry, and CA Coello, 227:189–205. Advances in Intelligent Systems and Computing. Springer International Publishing, 2013. https://doi.org/10.1007/978-3-319-01128-8_13.
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| DOI
2013 | Book Chapter | LibreCat-ID: 46386
Trautmann, Heike, G Rudolph, C Dominguez-Medina, and O Schütze. “Finding Evenly Spaced Pareto Fronts for Three-Objective Optimization Problems.” In EVOLVE — A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II, edited by O Schütze, Coello CA Coello, A Tantar, E Tantar, P Bouvry, Moral P Del, and P Legrand, 175:89–105. Advances in Intelligent Systems and Computing. Springer Berlin Heidelberg, 2013. https://doi.org/10.1007/978-3-642-31519-0_6.
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2013 | Conference Paper | LibreCat-ID: 46388
Nallaperuma, Samadhi, Markus Wagner, Frank Neumann, Bernd Bischl, Olaf Mersmann, and Heike Trautmann. “A Feature-Based Comparison of Local Search and the Christofides Algorithm for the Travelling Salesperson Problem.” In Proceedings of the Twelfth Workshop on Foundations of Genetic Algorithms XII, 147–160. FOGA XII ’13. New York, NY, USA: Association for Computing Machinery, 2013. https://doi.org/10.1145/2460239.2460253.
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2013 | Conference Paper | LibreCat-ID: 46390
Rudolph, G, Heike Trautmann, S Sengupta, and O Schütze. “Evenly Spaced Pareto Front Approximations for Tricriteria Problems Based on Triangulation.” In Evolutionary Multi-Criterion Optimization — 7$^th$ International Conference, EMO 2013, Sheffield, UK, Proceedings, edited by RC Purshouse, PJ Fleming, CM Fonseca, S Greco, and J Shaw, 7811:443–458. Lecture Notes in Computer Science. Springer, 2013. https://doi.org/10.1007/978-3-642-37140-0_34.
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2013 | Conference Paper | LibreCat-ID: 46391
Sosa-Hernandez, VA, O Schütze, G Rudoph, and Heike Trautmann. “Directed Search Method for Indicator-Based Multi-Objective Evolutionary Algorithms.” In Proceeding of the Fifteenth Annual Conference Companion on Genetic and Evolutionary Computation Conference Companion, 1699–1702. GECCO ’13 Companion. New York, NY, USA: ACM, 2013. https://doi.org/10.1145/2464576.2482756.
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| DOI
2013 | Conference Paper | LibreCat-ID: 46387
Dominguez-Medina, C, G Rudolph, O Schütze, and Heike Trautmann. “Evenly Spaced Pareto Fronts of Quad-Objective Problems Using PSA Partitioning Technique.” In Proceedings of the 2013 IEEE Congress on Evolutionary Computation (CEC), 3190–3197. Cancun, Mexico, 2013. https://doi.org/10.1109/CEC.2013.6557960.
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2013 | Conference Paper | LibreCat-ID: 46389
Preuss, Mike, Daniel Kozakowski, Johan Hagelbäck, and Heike Trautmann. “Reactive Strategy Choice in StarCraft by Means of Fuzzy Control.” In 2013 IEEE Conference on Computational Inteligence in Games (CIG), 1–8, 2013. https://doi.org/10.1109/CIG.2013.6633627.
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| DOI
2013 | Journal Article | LibreCat-ID: 46395
Trautmann, Heike, T Wagner, D Biermann, and C Weihs. “Indicator-Based Selection in Evolutionary Multiobjective Optimization Algorithms Based On the Desirability Index.” Journal of Multi-Criteria Decision Analysis 20, no. 5–6 (2013): 319–337. https://doi.org/10.1002/mcda.1503.
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| DOI
2013 | Conference Paper | LibreCat-ID: 46393
Wagner, Tobias, Heike Trautmann, and Dimo Brockhoff. “Preference Articulation by Means of the R2 Indicator.” In Evolutionary Multi-Criterion Optimization, edited by Robin C. Purshouse, Peter J. Fleming, Carlos M. Fonseca, Salvatore Greco, and Jane Shaw, 81–95. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.
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2013 | Conference Paper | LibreCat-ID: 46392
Trautmann, Heike, Tobias Wagner, and Dimo Brockhoff. “R2-EMOA: Focused Multiobjective Search Using R2-Indicator-Based Selection.” In Learning and Intelligent Optimization, edited by Giuseppe Nicosia and Panos Pardalos, 70–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.
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2013 | Journal Article | LibreCat-ID: 46394
Mersmann, O, B Bischl, Heike Trautmann, M Wagner, J Bossek, and F Neumann. “A Novel Feature-Based Approach to Characterize Algorithm Performance for the Traveling Salesman Problem.” Annals of Mathematics and Artificial Intelligence 69 (2013): 151–182.
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2012 | Conference Paper | LibreCat-ID: 46397
Brockhoff, Dimo, Tobias Wagner, and Heike Trautmann. “On the Properties of the R2 Indicator.” In Proceedings of the 14th Annual Conference on Genetic and Evolutionary Computation, 465–472. GECCO ’12. New York, NY, USA: Association for Computing Machinery, 2012. https://doi.org/10.1145/2330163.2330230.
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| DOI
2012 | Conference Paper | LibreCat-ID: 46396
Bischl, Bernd, Olaf Mersmann, Heike Trautmann, and Mike Preuß. “Algorithm Selection Based on Exploratory Landscape Analysis and Cost-Sensitive Learning.” In Proceedings of the 14th Annual Conference on Genetic and Evolutionary Computation, 313–320. GECCO ’12. New York, NY, USA: Association for Computing Machinery, 2012. https://doi.org/10.1145/2330163.2330209.
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2012 | Conference Paper | LibreCat-ID: 46398
Mersmann, Olaf, Bernd Bischl, Jakob Bossek, Heike Trautmann, Markus Wagner, and Frank Neumann. “Local Search and the Traveling Salesman Problem: A Feature-Based Characterization of Problem Hardness.” In Learning and Intelligent Optimization, edited by Youssef Hamadi and Marc Schoenauer, 115–129. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. https://doi.org/10.1007/978-3-642-34413-8_9.
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| DOI
2012 | Journal Article | LibreCat-ID: 46399
Bischl, B, O Mersmann, Heike Trautmann, and C Weihs. “Resampling Methods in Model Validation.” Evolutionary Computation Journal 20, no. 2 (2012): 249–275. https://doi.org/10.1162/EVCO_a_00069.
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2012 | Journal Article | LibreCat-ID: 46400
Rudolph, G, Heike Trautmann, and O Schütze. “Homogene Approximation Der Paretofront Bei Mehrkriteriellen Kontrollproblemen.” At-Automatisierungstechnik 60 (2012): 610–621. https://doi.org/10.1524/auto.2012.1033.
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2011 | Conference Paper | LibreCat-ID: 46401
Mersmann, Olaf, Bernd Bischl, Heike Trautmann, Mike Preuss, Claus Weihs, and Günter Rudolph. “Exploratory Landscape Analysis.” In Proceedings of the 13th Annual Conference on Genetic and Evolutionary Computation, 829–836. GECCO ’11. New York, NY, USA: Association for Computing Machinery, 2011. https://doi.org/10.1145/2001576.2001690.
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| DOI
2011 | Conference Paper | LibreCat-ID: 46402
Wagner, Tobias, Heike Trautmann, and Luis Martí. “A Taxonomy of Online Stopping Criteria for Multi-Objective Evolutionary Algorithms.” In Evolutionary Multi-Criterion Optimization, edited by Ricardo H. C. Takahashi, Kalyanmoy Deb, Elizabeth F. Wanner, and Salvatore Greco, 16–30. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. https://doi.org/10.1007/978-3-642-19893-9_2.
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| DOI
2011 | Journal Article | LibreCat-ID: 46403
Naujoks, B, Heike Trautmann, S Wessing, and C Weihs. “Advanced Concepts for Multi-Objective Evolutionary Optimization in Aircraft Industry.” Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 225, no. 10 (2011): 1081–96. https://doi.org/10.1177/0954410011414120.
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| DOI
2010 | Conference Paper | LibreCat-ID: 46408
Mostaghim, Sanaz, Heike Trautmann, and Olaf Mersmann. “Preference-Based Multi-Objective Particle Swarm Optimization Using Desirabilities.” In Parallel Problem Solving from Nature, PPSN XI, edited by Robert Schaefer, Carlos Cotta, Joanna Kołodziej, and Günter Rudolph, 101–110. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. https://doi.org/10.1007/978-3-642-15871-1_11.
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| DOI
2010 | Conference Paper | LibreCat-ID: 46405
Mersmann, Olaf, Mike Preuss, and Heike Trautmann. “Benchmarking Evolutionary Algorithms: Towards Exploratory Landscape Analysis.” In Proceedings of the 11th International Conference on Parallel Problem Solving from Nature: Part I, 73–82. PPSN’10. Berlin, Heidelberg: Springer-Verlag, 2010.
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2010 | Conference Paper | LibreCat-ID: 46406
Mersmann, O, Heike Trautmann, B Naujoks, and C Weihs. “On the Distribution of EMOA Hypervolumes.” In Learning and Intelligent Optimization, 4$^th$ International Conference, LION 4, Venice, Italy, edited by C Blum and R Battiti, 6073:333–337. Lecture Notes in Computer Science. Springer, 2010.
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2010 | Conference Paper | LibreCat-ID: 46407
Mersmann, Olaf, Heike Trautmann, Boris Naujoks, and Claus Weihs. “Benchmarking Evolutionary Multiobjective Optimization Algorithms.” In IEEE Congress on Evolutionary Computation, 1–8, 2010. https://doi.org/10.1109/CEC.2010.5586241.
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2010 | Conference Paper | LibreCat-ID: 46404
Ding, J, S Wessing, Heike Trautmann, J Mehnen, and B Naujoks. “Sequential Parameter Optimisation for Multi-Objective Evolutionary Optimisation of Additive Layer Manufacturing.” In Proceedings of the 7$^th$ CIRP International Seminar on Intelligent Computation in Manufacturing Engineering (CIRP ICME ’10), edited by R Teti. Capri, Italy: Copyright C.O.C. Com. org. Conv., 2010.
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2010 | Conference Paper | LibreCat-ID: 46409
Voß, Thomas, Heike Trautmann, and Christian Igel. “New Uncertainty Handling Strategies in Multi-Objective Evolutionary Optimization.” In Parallel Problem Solving from Nature, PPSN XI, edited by Robert Schaefer, Carlos Cotta, Joanna Kołodziej, and Günter Rudolph, 260–269. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. https://doi.org/10.1007/978-3-642-15871-1_27.
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| DOI
2010 | Journal Article | LibreCat-ID: 46412
Wagner, Tobias, and Heike Trautmann. “Integration of Preferences in Hypervolume-Based Multiobjective Evolutionary Algorithms by Means of Desirability Functions.” IEEE Transactions on Evolutionary Computation 14, no. 5 (2010): 688–701. https://doi.org/10.1109/TEVC.2010.2058119.
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| DOI
2010 | Journal Article | LibreCat-ID: 46411
Azene, Y.T., R. Roy, D. Farrugia, C. Onisa, J. Mehnen, and Heike Trautmann. “Work Roll Cooling System Design Optimisation in Presence of Uncertainty and Constrains.” CIRP Journal of Manufacturing Science and Technology 2, no. 4 (2010): 290–98. https://doi.org/10.1016/j.cirpj.2010.06.001.
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| DOI
2010 | Conference Paper | LibreCat-ID: 46410
Wagner, Tobias, and Heike Trautmann. “Online Convergence Detection for Evolutionary Multi-Objective Algorithms Revisited.” In IEEE Congress on Evolutionary Computation, 1–8, 2010. https://doi.org/10.1109/CEC.2010.5586474.
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| DOI
2009 | Conference Paper | LibreCat-ID: 46414
Wagner, Tobias, Heike Trautmann, and Boris Naujoks. “OCD: Online Convergence Detection for Evolutionary Multi-Objective Algorithms Based on Statistical Testing.” In Evolutionary Multi-Criterion Optimization, edited by Matthias Ehrgott, Carlos M. Fonseca, Xavier Gandibleux, Jin-Kao Hao, and Marc Sevaux, 198–215. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. https://doi.org/10.1007/978-3-642-01020-0_19.
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| DOI
2009 | Conference Paper | LibreCat-ID: 46415
Trautmann, Heike, Jorn Mehnen, and Boris Naujoks. “Pareto-Dominance in Noisy Environments.” In 2009 IEEE Congress on Evolutionary Computation, 3119–26, 2009. https://doi.org/10.1109/CEC.2009.4983338.
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| DOI
2009 | Conference Paper | LibreCat-ID: 46413
Naujoks, Boris, and Heike Trautmann. “Online Convergence Detection for Multiobjective Aerodynamic Applications.” In 2009 IEEE Congress on Evolutionary Computation, 332–39, 2009. https://doi.org/10.1109/CEC.2009.4982966.
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| DOI
2009 | Journal Article | LibreCat-ID: 46416
Trautmann, Heike, and J Mehnen. “Statistical Methods for Improving Multi-Objective Evolutionary Optimisation.” International Journal of Computational Intelligence Research 5, no. 2 (2009): 72–78.
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2009 | Journal Article | LibreCat-ID: 46418
Trautmann, Heike, T. Wagner, B. Naujoks, M. Preuss, and J. Mehnen. “Statistical Methods for Convergence Detection of Multi-Objective Evolutionary Algorithms.” Evolutionary Computation 17, no. 4 (2009): 493–509. https://doi.org/10.1162/evco.2009.17.4.17403.
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| DOI
2009 | Journal Article | LibreCat-ID: 46417
Trautmann, Heike, and Jörn Mehnen. “Preference-Based Pareto Optimization in Certain and Noisy Environments.” Engineering Optimization 41, no. 1 (2009): 23–38. https://doi.org/10.1080/03052150802347926.
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| DOI
2008 | Conference Paper | LibreCat-ID: 46420
Trautmann, Heike, Uwe Ligges, Jörn Mehnen, and Mike Preuss. “A Convergence Criterion for Multiobjective Evolutionary Algorithms Based on Systematic Statistical Testing.” In Parallel Problem Solving from Nature – PPSN X, edited by Günter Rudolph, Thomas Jansen, Nicola Beume, Simon Lucas, and Carlo Poloni, 825–836. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008.
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2008 | Conference Paper | LibreCat-ID: 46419
Mehnen, J, and Heike Trautmann. “Robust Multi-Objective Optimisation of Weld Bead Geometry for Additive Manufacturing.” In Proceedings of the 6$^th$ CIRP International Seminar on Intelligent Computation in Manufacturing Engineering (CIRP ICME ’08), edited by R Teti. Naples, Italy: Copyright C.O.C. Com. org. Conv., 2008.
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2007 | Conference Paper | LibreCat-ID: 46421
Mehnen, Jorn, Heike Trautmann, and Ashutosh Tiwari. “Introducing User Preference Using Desirability Functions in Multi-Objective Evolutionary Optimisation of Noisy Processes.” In 2007 IEEE Congress on Evolutionary Computation, 2687–94, 2007. https://doi.org/10.1109/CEC.2007.4424810.
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| DOI
2006 | Journal Article | LibreCat-ID: 46423
Trautmann, Heike, and C Weihs. “On the Distribution of the Desirability Index Using Harrington’s Desirability Function.” Metrika 63, no. 2 (2006): 207–213. https://doi.org/10.1007/s00184-005-0012-0.
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| DOI
2006 | Conference Paper | LibreCat-ID: 46422
Mehnen, J, and Heike Trautmann. “Integration of Expert’s Preferences in Pareto Optimization by Desirability Function Techniques.” In CIRP ICME ’06) — Proceedings of the 5$^th$ CIRP International Seminar on Intelligent Computation in Manufacturing Engineering, edited by R Teti, 293–298. Ischia, Italy: C.O.C. Com. org. Conv. CIRP ICME ’06, 2006.
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2024 | Book Chapter | LibreCat-ID: 52759
Preuß, Oliver Ludger, Jeroen Rook, and Heike Trautmann. “On the Potential of Multi-Objective Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimisation Problems.” In Applications of Evolutionary Computation. Cham: Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-56852-7_20.
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2024 | Conference Paper | LibreCat-ID: 52749
Vinzent Seiler, Moritz, Jeroen Rook, Jonathan Heins, Oliver Ludger Preuß, Jakob Bossek, and Heike Trautmann. “Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP.” In 2023 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 2024. https://doi.org/10.1109/ssci52147.2023.10372008.
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2023 | Conference Paper | LibreCat-ID: 47522
Prager, Raphael Patrick, Konstantin Dietrich, Lennart Schneider, Lennart Schäpermeier, Bernd Bischl, Pascal Kerschke, Heike Trautmann, and Olaf Mersmann. “Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features.” In Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 129–139. FOGA ’23. New York, NY, USA: Association for Computing Machinery, 2023. https://doi.org/10.1145/3594805.3607136.
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2023 | Conference Paper | LibreCat-ID: 46297
Prager, Raphael Patrick, and Heike Trautmann. “Nullifying the Inherent Bias of Non-Invariant Exploratory Landscape Analysis Features.” In Applications of Evolutionary Computation, edited by João Correia, Stephen Smith, and Raneem Qaddoura, 411–425. Cham: Springer Nature Switzerland, 2023.
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2023 | Conference Paper | LibreCat-ID: 46298
Schäpermeier, Lennart, Pascal Kerschke, Christian Grimme, and Heike Trautmann. “Peak-A-Boo! Generating Multi-Objective Multiple Peaks Benchmark Problems with Precise Pareto Sets.” In Evolutionary Multi-Criterion Optimization, edited by Michael Emmerich, André Deutz, Hao Wang, Anna V. Kononova, Boris Naujoks, Ke Li, Kaisa Miettinen, and Iryna Yevseyeva, 291–304. Cham: Springer Nature Switzerland, 2023.
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2023 | Journal Article | LibreCat-ID: 46299
Prager, Raphael Patrick, and Heike Trautmann. “Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python.” Evolutionary Computation, 2023, 1–25. https://doi.org/10.1162/evco_a_00341.
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2023 | Journal Article | LibreCat-ID: 46310
Heins, Jonathan, Jakob Bossek, Janina Pohl, Moritz Seiler, Heike Trautmann, and Pascal Kerschke. “A Study on the Effects of Normalized TSP Features for Automated Algorithm Selection.” Theoretical Computer Science 940 (2023): 123–45. https://doi.org/10.1016/j.tcs.2022.10.019.
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2023 | Conference Paper | LibreCat-ID: 52530
Prager, Raphael Patrick, and Heike Trautmann. “Investigating the Viability of Existing Exploratory Landscape Analysis Features for Mixed-Integer Problems.” In Companion Proceedings of the Conference on Genetic and Evolutionary Computation, GECCO 2023, Companion Volume, Lisbon, Portugal, July 15-19, 2023, edited by Sara Silva and Luís Paquete, 451–454. ACM, 2023. https://doi.org/10.1145/3583133.3590757.
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2023 | Conference Paper | LibreCat-ID: 48898
Seiler, Moritz Vinzent, Jeroen Rook, Jonathan Heins, Oliver Ludger Preuß, Jakob Bossek, and Heike Trautmann. “Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP.” In 2023 IEEE Symposium Series on Computational Intelligence (SSCI), 361–68, n.d. https://doi.org/10.1109/SSCI52147.2023.10372008.
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2022 | Book Chapter | LibreCat-ID: 46300
Niemann, Marco, Dennis Assenmacher, Jens Brunk, Dennis Maximilian Riehle, Jörg Becker, and Heike Trautmann. “(Semi-)Automatische Kommentarmoderation Zur Erhaltung Konstruktiver Diskurse.” In Hate Speech — Definitionen, Ausprägungen, Lösungen, edited by Gerrit Weitzel and Stephan Mündges, 249–274. Wiesbaden: VS Verlag für Sozialwissenschaften, 2022. https://doi.org/10.1007/978-3-658-35658-3_13.
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2022 | Conference Paper | LibreCat-ID: 46301
Assenmacher, D, and Heike Trautmann. “Textual One-Pass Stream Clustering with Automated Distance Threshold Adaption.” In Intelligent Information and Database Systems, edited by T et al. Tran, 3–16. Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-031-21743-2_1.
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2022 | Journal Article | LibreCat-ID: 46316
Assenmacher, Dennis, Derek Weber, Mike Preuss, André Calero Valdez, Alison Bradshaw, Björn Ross, Stefano Cresci, Heike Trautmann, Frank Neumann, and Christian Grimme. “Benchmarking Crisis in Social Media Analytics: A Solution for the Data-Sharing Problem.” Social Science Computer Review 40, no. 6 (2022): 1496–1522. https://doi.org/10.1177/08944393211012268.
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2022 | Conference Paper | LibreCat-ID: 46306
Schneider, Lennart, Lennart Schäpermeier, Raphael Patrick Prager, Bernd Bischl, Heike Trautmann, and Pascal Kerschke. “HPO x ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis.” In Parallel Problem Solving from Nature — PPSN XVII, edited by Günter Rudolph, Anna V. Kononova, Hernán Aguirre, Pascal Kerschke, Gabriela Ochoa, and Tea Tušar, 575–589. Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-031-14714-2_40.
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2022 | Conference Paper | LibreCat-ID: 46307
Seiler, Moritz Vinzent, Raphael Patrick Prager, Pascal Kerschke, and Heike Trautmann. “A Collection of Deep Learning-Based Feature-Free Approaches for Characterizing Single-Objective Continuous Fitness Landscapes.” In Proceedings of the Genetic and Evolutionary Computation Conference, 657–665. New York, NY, USA: Association for Computing Machinery, 2022. https://doi.org/10.1145/3512290.3528834.
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2022 | Conference Paper | LibreCat-ID: 46304
Prager, Raphael Patrick, Moritz Vinzent Seiler, Heike Trautmann, and Pascal Kerschke. “Automated Algorithm Selection in Single-Objective Continuous Optimization: A Comparative Study of Deep Learning and Landscape Analysis Methods.” In Parallel Problem Solving from Nature — PPSN XVII, edited by Günter Rudolph, Anna V. Kononova, Hernán Aguirre, Pascal Kerschke, Gabriela Ochoa, and Tea Tušar, 3–17. Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-031-14714-2_1.
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2022 | Conference Paper | LibreCat-ID: 46303
Pohl, Janina Susanne, Dennis Assenmacher, Moritz Vincent Seiler, Heike Trautmann, and Christian Grimme. “Artificial Social Media Campaign Creation for Benchmarking and Challenging Detection Approaches.” In Workshop Proceedings of the 16$^th$ International Conference on Web and Social Media (ICWSM), edited by for the Advancement of Artificial Intelligence (AAAI) Association, 1–10. Palo Alto, CA, USA: AAAI Press, 2022. https://doi.org/10.36190/2022.91.
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2022 | Conference Paper | LibreCat-ID: 46305
Rook, J, Heike Trautmann, J Bossek, and C Grimme. “On the Potential of Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimization Problems.” In Proceedings of the Genetic and Evolutionary Computation Conference Companion, edited by J Fieldsend and M. Wagner, 356–359–356–359. GECCO ’22. New York, NY, USA: Association for Computing Machinery, 2022. https://doi.org/10.1145/3520304.3528998.
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2022 | Journal Article | LibreCat-ID: 46309
Clever, Lena, Janina Susanne Pohl, Jakob Bossek, Pascal Kerschke, and Heike Trautmann. “Process-Oriented Stream Classification Pipeline: A Literature Review.” Applied Sciences 12, no. 8 (2022): 1–44. https://doi.org/10.3390/app12189094.
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2022 | Journal Article | LibreCat-ID: 46308
Aspar, Pelin, Vera Steinhoff, Lennart Schäpermeier, Pascal Kerschke, Heike Trautmann, and Christian Grimme. “The Objective That Freed Me: A Multi-Objective Local Search Approach for Continuous Single-Objective Optimization.” Natural Computing 1 (2022): 1–15. https://doi.org/10.1007/s11047-022-09919-w.
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2022 | Conference Paper | LibreCat-ID: 46302
Heins, J, J Rook, L Schäpermeier, P Kerschke, J Bossek, and Heike Trautmann. “BBE: Basin-Based Evaluation of Multimodal Multi-Objective Optimization Problems.” In Parallel Problem Solving from Nature — PPSN XVII, edited by G Rudolph, AV Kononova, H Aguirre, P Kerschke, G Ochoa, and T Tušar, 192–206. Cham: Springer International Publishing, 2022.
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2022 | Journal Article | LibreCat-ID: 52532
Rodrigues, Agatha S., Pascal Kerschke, Carlos Alberto De Bragança Pereira, Heike Trautmann, Carolin Wagner, Bernd Hellingrath, and Adriano Polpo. “Estimation of Component Reliability from Superposed Renewal Processes by Means of Latent Variables.” Comput. Stat. 37, no. 1 (2022): 355–379. https://doi.org/10.1007/S00180-021-01124-0.
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2021 | Journal Article | LibreCat-ID: 46318
Grimme, Christian, Pascal Kerschke, Pelin Aspar, Heike Trautmann, Mike Preuss, André H. Deutz, Hao Wang, and Michael Emmerich. “Peeking beyond Peaks: Challenges and Research Potentials of Continuous Multimodal Multi-Objective Optimization.” Computers & Operations Research 136 (2021): 105489. https://doi.org/10.1016/j.cor.2021.105489.
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2021 | Conference Paper | LibreCat-ID: 46313
Heins, Jonathan, Jakob Bossek, Janina Pohl, Moritz Seiler, Heike Trautmann, and Pascal Kerschke. “On the Potential of Normalized TSP Features for Automated Algorithm Selection.” In Proceedings of the 16$^th$ ACM/SIGEVO Conference on Foundations of Genetic Algorithms (FOGA XVI), edited by for Computing Machinery Association, 1–15. Dornbirn, Austria: Association for Computing Machinery, 2021. https://doi.org/10.1145/3450218.3477308.
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2021 | Conference Paper | LibreCat-ID: 46311
Aspar, Pelin, Pascal Kerschke, Vera Steinhoff, Heike Trautmann, and Christian Grimme. “Multi^3: Optimizing Multimodal Single-Objective Continuous Problems in the Multi-Objective Space by Means of Multiobjectivization.” In Evolutionary Multi-Criterion Optimization: 11$^th$ International Conference, EMO 2021, Shenzhen, China, March 28–31, 2021, Proceedings, edited by H. et al. Ishibuchi, 311–322. Heidelberg, Berlin: Springer, 2021. https://doi.org/10.1007/978-3-030-72062-9_25.
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2021 | Journal Article | LibreCat-ID: 46317
Coombs, Crispin, Patrick Stacey, Peter Kawalek, Boyka Simeonova, Jörg Becker, Katrin Bergener, João Álvaro Carvalho, et al. “What Is It About Humanity That We Can’t Give Away To Intelligent Machines? A European Perspective.” International Journal of Information Management 58 (2021). https://doi.org/10.1016/j.ijinfomgt.2021.102311.
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2021 | Conference Paper | LibreCat-ID: 46315
Prager, Raphael Patrick, Moritz Vinzent Seiler, Heike Trautmann, and Pascal Kerschke. “Towards Feature-Free Automated Algorithm Selection for Single-Objective Continuous Black-Box Optimization.” In 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 1–8, 2021. https://doi.org/10.1109/SSCI50451.2021.9660174.
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2021 | Conference Paper | LibreCat-ID: 46312
Assenmacher, Dennis, Marco Niemann, Kilian Müller, Moritz V. Seiler, Dennis M. Riehle, and Heike Trautmann. “RP-Mod & RP-Crowd: Moderator- and Crowd-Annotated German News Comment Datasets.” In Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1 (NeurIPS Datasets and Benchmarks 2021), 1–14. Virtual Event, 2021.
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2020 | Conference Paper | LibreCat-ID: 46319
Assenmacher, D, L Adam, Heike Trautmann, and C Grimme. “Towards Real-Time and Unsupervised Campaign Detection in Social Media.” In Proceedings of the Florida Artificial Intelligence Research Society Conference. Florida, USA, 2020.
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2020 | Conference Paper | LibreCat-ID: 46328
Prager, Raphael Patrick, Heike Trautmann, Hao Wang, Thomas H. W. Bäck, and Pascal Kerschke. “Per-Instance Configuration of the Modularized CMA-ES by Means of Classifier Chains and Exploratory Landscape Analysis.” In Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI), 996–1003. Canberra, Australia, 2020. https://doi.org/10.1109/SSCI47803.2020.9308510.
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2020 | Conference Paper | LibreCat-ID: 46320
Assenmacher, D, L Clever, JS Pohl, Heike Trautmann, and C Grimme. “A Two-Phase Framework for Detecting Manipulation Campaigns in Social Media.” In Proceedings of the International Conference on Human-Computer Interaction (HCII 2020): Social Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis, edited by G Meiselwitz, 201–214. Cham: Springer International Publishing, 2020. https://doi.org/10.1007/978-3-030-49570-1_14.
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2020 | Conference Paper | LibreCat-ID: 46325
Carnein, Matthias, Heike Trautmann, Albert Bifet, and Bernhard Pfahringer. “Towards Automated Configuration of Stream Clustering Algorithms.” In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD ’19), 137–143. Würzburg, Germany, 2020. https://doi.org/10.1007/978-3-030-43823-4_12.
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2020 | Conference Paper | LibreCat-ID: 46321
Assenmacher, Dennis, Lena Frischlich , Heike Trautmann, Christian Grimme, and Lena Adam. “Inside the Tool Set of Automation: Free Social Bot Code Revisited.” In Disinformation in Open Online Media, edited by Christian Grimme, Mike Preuß, Frank Takes, and Annie Waldherr, 101–114. Lecture Notes in Computer Science. Wiesbaden: Springer, 2020.
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2020 | Conference Paper | LibreCat-ID: 46326
Carnein, Matthias, Heike Trautmann, Albert Bifet, and Bernhard Pfahringer. “ConfStream: Automated Algorithm Selection and Configuration of Stream Clustering Algorithms.” In Proceedings of the 14$^th$ Learning and Intelligent Optimization Conference (LION 2020), 80–95. Athens, Greece, 2020. https://doi.org/10.1007/978-3-030-53552-0_10.
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2020 | Conference Paper | LibreCat-ID: 46324
Bossek, Jakob, Pascal Kerschke, and Heike Trautmann. “Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection.” In Proceedings of the IEEE Congress on Evolutionary Computation (CEC), 1–8. Glasgow, UK: IEEE, 2020.
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2020 | Conference Paper | LibreCat-ID: 46322
Bossek, Jakob, Christian Grimme, Günter Rudolph, and Heike Trautmann. “Towards Decision Support in Dynamic Bi-Objective Vehicle Routing.” In Proceedings of the IEEE Congress on Evolutionary Computation (CEC), 1–8. Glasgow, UK, 2020. https://doi.org/10.1109/CEC48606.2020.9185778.
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2020 | Conference Paper | LibreCat-ID: 46323
Bossek, Jakob, Christian Grimme, and Heike Trautmann. “Dynamic Bi-Objective Routing of Multiple Vehicles.” In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO ’20), 166–174. Cancun, Mexico: ACM, 2020.
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2020 | Conference Paper | LibreCat-ID: 46327
Lena, Clever, Lena Frischlich, Heike Trautmann, and Christian Grimme. “Automated Detection of Nostalgic Text in the Context of Societal Pessimism.” In Disinformation in Open Online Media, edited by Christian Grimme, Mike Preuß, Frank Takes, and Annie Waldherr, 48–58. Hamburg, Deutschland, 2020.
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2020 | Conference Paper | LibreCat-ID: 46330
Seiler, Moritz V, Janina Pohl, Jakob Bossek, Pascal Kerschke, and Heike Trautmann. “Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem.” In Proceedings of the 16$^th$ International Conference on Parallel Problem Solving from Nature (PPSN XVI), edited by Thomas Bäck, Mike Preuss, André Deutz, Hao Wang, Carola Doerr, Michael Emmerich, and Heike Trautmann, 48–64. Leiden, The Netherlands, 2020. https://doi.org/10.1007/978-3-030-58112-1_4.
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2020 | Conference Paper | LibreCat-ID: 46329
Riehle, Dennis M., Marco Niemann, Jens Brunk, Dennis Assenmacher, Heike Trautmann, and Jörg Becker. “Building an Integrated Comment Moderation System – Towards a Semi-Automatic Moderation Tool.” In Social Computing and Social Media. Participation, User Experience, Consumer Experience, and Applications of Social Computing, edited by Gabriele Meiselwitz, 71–86. Cham: Springer International Publishing, 2020.
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2020 | Journal Article | LibreCat-ID: 46333
Assenmacher, Dennis, Lena Clever, Lena Frischlich, Thorsten Quandt, Heike Trautmann, and Christian Grimme. “Demystifying Social Bots: On the Intelligence of Automated Social Media Actors.” Social Media + Society 6, no. 3 (2020): 2056305120939264. https://doi.org/10.1177/2056305120939264.
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2020 | Journal Article | LibreCat-ID: 46334
Bossek, Jakob, Pascal Kerschke, and Heike Trautmann. “A Multi-Objective Perspective on Performance Assessment and Automated Selection of Single-Objective Optimization Algorithms.” Applied Soft Computing 88 (2020): 105901. https://doi.org/10.1016/j.asoc.2019.105901.
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2020 | Conference Paper | LibreCat-ID: 46331
Seiler, Moritz Vinzent, Heike Trautmann, and Pascal Kerschke. “Enhancing Resilience of Deep Learning Networks By Means of Transferable Adversaries.” In Proceedings of the International Joint Conference on Neural Networks (IJCNN), 1–8. Glasgow, UK, 2020. https://doi.org/10.1109/IJCNN48605.2020.9207338.
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2020 | Conference Paper | LibreCat-ID: 46332
Steinhoff, Vera, Pascal Kerschke, Pelin Aspar, Heike Trautmann, and Christian Grimme. “Multiobjectivization of Local Search: Single-Objective Optimization Benefits From Multi-Objective Gradient Descent.” In Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI), 2445–2452. Canberra, Australia, 2020. https://doi.org/10.1109/SSCI47803.2020.9308259.
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2019 | Conference Paper | LibreCat-ID: 46338
Bossek, Jakob, Christian Grimme, Stephan Meisel, Günter Rudolph, and Heike Trautmann. “Bi-Objective Orienteering: Towards a Dynamic Multi-Objective Evolutionary Algorithm.” In Evolutionary Multi-Criterion Optimization (EMO), edited by Kalyanmoy Deb, Erik Goodman, Coello Carlos A. Coello, Kathrin Klamroth, Kaisa Miettinen, Sanaz Mostaghim, and Patrick Reed, 11411:516–528. Lecture Notes in Computer Science. East Lansing, Michigan, USA: Springer International Publishing, 2019. https://doi.org/10.1007/978-3-030-12598-1_41.
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2019 | Conference Paper | LibreCat-ID: 46343
Grimme, Christian, Pascal Kerschke, and Heike Trautmann. “Multimodality in Multi-Objective Optimization — More Boon than Bane?” In Proceedings of the 10$^th$ International Conference on Evolutionary Multi-Criterion Optimization (EMO), edited by Kalyanmoy Deb, Erik Goodman, Coello Carlos A. Coello, Kathrin Klamroth, Kaisa Miettinen, Sanaz Mostaghim, and Patrick Reed, 11411:126–138. Lecture Notes in Computer Science. East Lansing, MI, USA: Springer, 2019. https://doi.org/10.1007/978-3-030-12598-1_11.
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2019 | Journal Article | LibreCat-ID: 46345
Kerschke, Pascal, Holger H Hoos, Frank Neumann, and Heike Trautmann. “Automated Algorithm Selection: Survey and Perspectives.” Evolutionary Computation (ECJ) 27, no. 1 (2019): 3–45. https://doi.org/10.1162/evco_a_00242.
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2019 | Conference Paper | LibreCat-ID: 46339
Bossek, Jakob, Pascal Kerschke, Aneta Neumann, Markus Wagner, Frank Neumann, and Heike Trautmann. “Evolving Diverse TSP Instances by Means of Novel and Creative Mutation Operators.” In Proceedings of the 15$^th$ ACM/SIGEVO Workshop on Foundations of Genetic Algorithms (FOGA XV), edited by Tobias Friedrich, Carola Doerr, and Dirk Arnold, 58–71. Potsdam, Germany, 2019. https://doi.org/10.1145/3299904.3340307.
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2019 | Conference Paper | LibreCat-ID: 46337
Bossek, J, and Heike Trautmann. “Multi-Objective Performance Measurement: Alternatives to PAR10 and Expected Running Time.” In Learning and Intelligent Optimization, edited by R Battiti, M Brunato, I Kotsireas, and P Pardalos, 11353:215–219. Lecture Notes in Computer Science. Cham: Springer, 2019.
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2019 | Journal Article | LibreCat-ID: 46344
Carnein, Matthias, and Heike Trautmann. “Optimizing Data Stream Representation: An Extensive Survey on Stream Clustering Algorithms.” Business and Information Systems Engineering (BISE) 61, no. 3 (2019): 277–297.
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2019 | Conference Paper | LibreCat-ID: 46340
Carnein, Matthias, Leschek Homann, Heike Trautmann, and Gottfried Vossen. “A Recommender System Based on Omni-Channel Customer Data.” In Proceedings of the 21$^st$ IEEE Conference on Business Informatics (CBI’ 19), 65–74. Moscow, Russia, 2019.
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2019 | Conference Paper | LibreCat-ID: 46341
Carnein, Matthias, and Heike Trautmann. “Customer Segmentation Based on Transactional Data Using Stream Clustering.” In Proceedings of the 23$^rd$ Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD ’19), 280–292. Macau, China, 2019.
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2019 | Conference Paper | LibreCat-ID: 46342
Grimme, Christian, Pascal Kerschke, Michael T M Emmerich, Mike Preuss, André H Deutz, and Heike Trautmann. “Sliding to the Global Optimum: How to Benefit from Non-Global Optima in Multimodal Multi-Objective Optimization.” In AIP Conference Proceedings, 020052-1-020052–54. Leiden, The Netherlands: AIP Publishing, 2019. https://doi.org/10.1063/1.5090019.
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2019 | Book Chapter | LibreCat-ID: 46336
Kerschke, Pascal, and Heike Trautmann. “Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-Package Flacco.” In Applications in Statistical Computing, edited by Nadja Bauer, Katja Ickstadt, Karsten Lübke, Gero Szepannek, Heike Trautmann, and Maurizio Vichi, 93–123. Springer, 2019. https://doi.org/10.1007/978-3-030-25147-5_7.
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2019 | Book | LibreCat-ID: 46335
Trautmann, Heike. Applications in Statistical Computing — From Music Data Analysis to Industrial Quality Improvement. Studies in Classification, Data Analysis, and Knowledge Organization. Springer International Publishing, 2019.
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2019 | Journal Article | LibreCat-ID: 46346
Kerschke, Pascal, and Heike Trautmann. “Automated Algorithm Selection on Continuous Black-Box Problems By Combining Exploratory Landscape Analysis and Machine Learning.” Evolutionary Computation (ECJ) 27, no. 1 (2019): 99–127. https://doi.org/10.1162/evco_a_00236.
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2019 | Journal Article | LibreCat-ID: 46347
Kerschke, Pascal, Hao Wang, Mike Preuss, Christian Grimme, André Deutz, Heike Trautmann, and Michael Emmerich. “Search Dynamics on Multimodal Multi-Objective Problems.” Evolutionary Computation (ECJ) 27, no. 4 (2019): 577–609. https://doi.org/10.1162/evco_a_00234.
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2018 | Conference Paper | LibreCat-ID: 46350
Engelen, J.E. van, J.J. van Lier, F.W. Takes, and Heike Trautmann. “Accurate WiFi Based Indoor Positioning with Continuous Location Sampling.” In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (ECML/PKDD), 524–540. Dublin, Ireland: Springer, 2018.
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2018 | Conference Paper | LibreCat-ID: 46348
Bossek, Jakob, Christian Grimme, Stephan Meisel, Guenter Rudolph, and Heike Trautmann. “Local Search Effects in Bi-Objective Orienteering.” In Proceedings of the Genetic and Evolutionary Computation Conference, 585–592. GECCO ’18. New York, NY, USA: ACM, 2018. https://doi.org/10.1145/3205455.3205548.
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2018 | Journal Article | LibreCat-ID: 46351
Carnein, Matthias, and Heike Trautmann. “EvoStream — Evolutionary Stream Clustering Utilizing Idle Times.” Big Data Research 14 (2018): 101–111. https://doi.org/10.1016/j.bdr.2018.05.005.
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2018 | Journal Article | LibreCat-ID: 46353
Li, L, Y Wang, Heike Trautmann, N Jing, and M Emmerich. “Multiobjective Evolutionary Algorithms Based on Target Region Preferences.” Swarm and Evolutionary Computation 40 (2018): 196–215. https://doi.org/10.1016/j.swevo.2018.02.006.
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2018 | Journal Article | LibreCat-ID: 46352
Kerschke, Pascal, Lars Kotthoff, Jakob Bossek, Holger H. Hoos, and Heike Trautmann. “Leveraging TSP Solver Complementarity through Machine Learning.” Evolutionary Computation (ECJ) 26, no. 4 (2018): 597–620. https://doi.org/10.1162/evco_a_00215.
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2018 | Conference Paper | LibreCat-ID: 46349
Kerschke, Pascal, Jakob Bossek, and Heike Trautmann. “Parameterization of State-of-the-Art Performance Indicators: A Robustness Study Based on Inexact TSP Solvers.” In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO ’18) Companion, 1737–1744. Kyoto, Japan, 2018. https://doi.org/10.1145/3205651.3208233.
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2017 | Book Chapter | LibreCat-ID: 46355
Adrián, Sosa Hernández V, A Lara, Heike Trautmann, G Rudolph, and O Schütze. “The Directed Search Method for Unconstrained Parameter Dependent Multi-Objective Optimization Problems.” In NEO 15, edited by O Schütze, L Trujillo, P Legrand, and Y Maldonado, 281–330. Cham: Springer International Publishing, 2017. https://doi.org/10.1007/978-3-319-44003-3_12.
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2017 | Conference Paper | LibreCat-ID: 46360
Carnein, Matthias, Markus Heuchert, Leschek Homann, Heike Trautmann, Gottfried Vossen, Jörg Becker, and Karsten Kraume. “Towards Efficient and Informative Omni-Channel Customer Relationship Management.” In Proceedings of the 36$^th$ International Conference on Conceptual Modeling (ER’17), edited by Sergio de Cesare and Frank Ulrich, 10651:69–78. Lecture Notes in Computer Science. Valencia, Spain: Springer International Publishing, 2017. https://doi.org/10.1007/978-3-319-70625-2_7.
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2017 | Conference Paper | LibreCat-ID: 46361
Carnein, Matthias, Leschek Homann, Heike Trautmann, Gottfried Vossen, and Karsten Kraume. “Customer Service in Social Media — An Empirical Study of the Airline Industry.” In Proceedings of the 17$^th$ Conference on Database Systems for Business, Technology, and Web (BTW ’17), edited by Norbert Ritter, Holger Schwarz, Meike Klettke, Andreas Thor, Oliver Kopp, and Matthias Wieland Bernhard, P-266:33–40. Lecture Notes in Informatics (LNI). Stuttgart, Germany: Gesellschaft für Informatik, 2017.
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2017 | Book Chapter | LibreCat-ID: 46356
Li, L, I Yevseyeva, V Basto-Fernandes, Heike Trautmann, N Jing, and M Emmerich. “Building and Using an Ontology of Preference-Based Multiobjective Evolutionary Algorithms.” In Evolutionary Multi-Criterion Optimization: 9$^th$ International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings, edited by H Trautmann, G Rudolph, K Klamroth, O Schütze, M Wiecek, Y Jin, and C Grimme, 406–421. Cham: Springer International Publishing, 2017. https://doi.org/10.1007/978-3-319-54157-0_28.
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2017 | Book Chapter | LibreCat-ID: 46357
Tierney, K, J Handali, C Grimme, and Heike Trautmann. “Multi-Objective Optimization for Liner Shipping Fleet Repositioning.” In Evolutionary Multi-Criterion Optimization: 9$^th$ International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings, edited by H Trautmann, G Rudolph, K Klamroth, O Schütze, M Wiecek, Y Jin, and C Grimme, 622–638. Cham: Springer International Publishing, 2017. https://doi.org/10.1007/978-3-319-54157-0_42.
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2017 | Conference Paper | LibreCat-ID: 46359
Carnein, Matthias, Dennis Assenmacher, and Heike Trautmann. “Stream Clustering of Chat Messages with Applications to Twitch Streams.” In Proceedings of the 36$^th$ International Conference on Conceptual Modeling (ER’17), edited by Sergio de Cesare and Frank Ulrich, 79–88. Valencia, Spain: Springer International Publishing, 2017. https://doi.org/10.1007/978-3-319-70625-2_8.
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2017 | Journal Article | LibreCat-ID: 46362
Grimme, C, M Preuss, L Adam, and Heike Trautmann. “Social Bots: Human-Like by Means of Human Control?” Big Data 5, no. 4 (2017): 279–293. https://doi.org/10.1089/big.2017.0044.
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2017 | Conference Paper | LibreCat-ID: 46358
Carnein, Matthias, Dennis Assenmacher, and Heike Trautmann. “An Empirical Comparison of Stream Clustering Algorithms.” In Proceedings of the ACM International Conference on Computing Frontiers (CF ’17), 361–365. Siena, Italy, 2017. https://doi.org/10.1145/3075564.3078887.
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2016 | Conference Paper | LibreCat-ID: 46364
Blot, A, H Hoos, L Jourdan, M Marmion, and Heike Trautmann. “MO-ParamILS: A Multi-Objective Automatic Algorithm Configuration Framework.” In LION 2016: Learning and Intelligent Optimization, edited by Vanschooren et al. Joaquin, 10079:32–47. LNTCS. Cham: Springer International Publishing, 2016. https://doi.org/10.1007/978-3-319-50349-3_3.
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2016 | Book Chapter | LibreCat-ID: 46363
Rudolph, G, O Schütze, and Heike Trautmann. “On the Closest Averaged Hausdorff Archive for a Circularly Convex Pareto Front.” In Applications of Evolutionary Computation: 19$^th$ European Conference, EvoApplications 2016, Porto, Portugal, March 30 — April 1, 2016, Proceedings, Part II, edited by G Squillero and P Burelli, 42–55. Cham: Springer International Publishing, 2016. https://doi.org/10.1007/978-3-319-31153-1_4.
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2016 | Conference Paper | LibreCat-ID: 46365
Bossek, J, and Heike Trautmann. “Evolving Instances for Maximizing Performance Differences of State-of-The-Art Inexact TSP Solvers.” In Learning and Intelligent Optimization, edited by P Festa, M Sellmann, and J Vanschoren, 10079:48–59. Lecture Notes in Computer Science. Ischia, Italy: Springer International Publishing, 2016. https://doi.org/10.1007/978-3-319-50349-3_4.
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2016 | Conference Paper | LibreCat-ID: 46366
Bossek, J, and Heike Trautmann. “Understanding Characteristics of Evolved Instances for State-of-the-Art Inexact TSP Solvers with Maximum Performance Difference.” In AI*IA 2016 Advances in Artificial Intelligence, edited by G Adorni, S Cagnoni, M Gori, and M Maratea, 10037:3–12. Lecture Notes in Computer Science. Cham: Springer, 2016. https://doi.org/10.1007/978-3-319-49130-1_1.
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2016 | Conference Paper | LibreCat-ID: 46369
Kerschke, Pascal, Hao Wang, Mike Preuss, Christian Grimme, André Deutz, Heike Trautmann, and Michael Emmerich. “Towards Analyzing Multimodality of Multiobjective Landscapes.” In Proceedings of the 14$^th$ International Conference on Parallel Problem Solving from Nature (PPSN XIV), 962–972. Lecture Notes in Computer Science. Edinburgh, Scotland: Springer, 2016. https://doi.org/10.1007/978-3-319-45823-6_90.
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2016 | Conference Paper | LibreCat-ID: 46367
Kerschke, Pascal, Mike Preuss, Simon Wessing, and Heike Trautmann. “Low-Budget Exploratory Landscape Analysis on Multiple Peaks Models.” In Proceedings of the 18$^th$ Annual Conference on Genetic and Evolutionary Computation, 229–236. Denver, CO, USA, 2016. https://doi.org/10.1145/2908812.2908845.
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2016 | Journal Article | LibreCat-ID: 46371
Rudolph, G, O Schütze, C Grimme, C Domínguez-Medina, and Heike Trautmann. “Optimal Averaged Hausdorff Archives for Bi-Objective Problems: Theoretical and Numerical Results.” Computational Optimization and Applications (Comput. Optim. Appl.) 64, no. 2 (2016): 589–618. https://doi.org/10.1007/s10589-015-9815-8.
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2016 | Journal Article | LibreCat-ID: 46372
Schütze, O, Hernandez VA Sosa, Heike Trautmann, and G Rudolph. “The Hypervolume Based Directed Search Method for Multi-Objective Optimization Problems.” Journal of Heuristics 22, no. 3 (2016): 273–300. https://doi.org/10.1007/s10732-016-9310-0.
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2016 | Conference Paper | LibreCat-ID: 46368
Kerschke, Pascal, and Heike Trautmann. “The R-Package FLACCO for Exploratory Landscape Analysis with Applications to Multi-Objective Optimization Problems.” In Proceedings of the IEEE Congress on Evolutionary Computation (CEC). Vancouver, BC, Kanada, 2016. https://doi.org/10.1109/CEC.2016.7748359.
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2016 | Journal Article | LibreCat-ID: 46370
Neumann, F, and Heike Trautmann. “Working Group Report: Bridging the Gap Between Experiments and Theory Using Feature-Based Run-Time Analysis; Theory of Evolutionary Algorithms (Dagstuhl Seminar 15211).” Dagstuhl Reports 5, no. 5 (2016): 78–79. https://doi.org/10.4230/DagRep.5.5.57.
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2015 | Conference Paper | LibreCat-ID: 46373
Chinnov, Andrey, Pascal Kerschke, Christian Meske, Stefan Stieglitz, and Heike Trautmann. “An Overview of Topic Discovery in Twitter Communication through Social Media Analytics.” In Proceedings of the 20$^th$ Americas Conference on Information Systems (AMCIS ’15), 1–10. Puerto Rico, 2015.
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2015 | Conference Paper | LibreCat-ID: 46375
Kerschke, Pascal, Mike Preuss, Simon Wessing, and Heike Trautmann. “Detecting Funnel Structures by Means of Exploratory Landscape Analysis.” In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO ’15), edited by Sara Silva, 265–272. New York, NY, USA: ACM, 2015. https://doi.org/10.1145/2739480.2754642.
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2015 | Conference Paper | LibreCat-ID: 46377
Meisel, Stephan, Christian Grimme, Jakob Bossek, Martin Wölck, Guenter Rudolph, and Heike Trautmann. “Evaluation of a Multi-Objective EA on Benchmark Instances for Dynamic Routing of a Vehicle.” In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO ’15), 425–432. Madrid, Spain, 2015. https://doi.org/10.1145/2739480.2754705.
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2015 | Conference Paper | LibreCat-ID: 46376
Kotthoff, Lars, Pascal Kerschke, Holger Hoos, and Heike Trautmann. “Improving the State of the Art in Inexact TSP Solving Using Per-Instance Algorithm Selection.” In Learning and Intelligent Optimization, edited by Clarisse Dhaenens, Laetitia Jourdan, and Marie-Eléonore Marmion, 202–217. Cham: Springer International Publishing, 2015.
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2015 | Journal Article | LibreCat-ID: 46379
Brockhoff, D, T Wagner, and Heike Trautmann. “R2 Indicator Based Multiobjective Search.” Evolutionary Computation Journal 23, no. 3 (2015): 369–395. https://doi.org/10.1162/EVCO_a_00135.
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2015 | Conference Paper | LibreCat-ID: 46374
Grimme, C, S Meisel, Heike Trautmann, G Rudolph, and M Wölck. “Multi-Objective Analysis of Approaches to Dynamic Routing Of a Vehicle.” In Proceedings of the European Conference On Information Systems. Münster, Germany, 2015.
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2015 | Journal Article | LibreCat-ID: 46380
Mersmann, O, M Preuss, Heike Trautmann, B Bischl, and C Weihs. “Analyzing the BBOB Results by Means of Benchmarking Concepts.” Evolutionary Computation Journal 23, no. 1 (2015): 161–185.
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2014 | Book Chapter | LibreCat-ID: 46381
Kerschke, Pascal, Mike Preuss, Carlos Hernández, Oliver Schütze, Jian-Qiao Sun, Christian Grimme, Günter Rudolph, Bernd Bischl, and Heike Trautmann. “Cell Mapping Techniques for Exploratory Landscape Analysis.” In EVOLVE — A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V, edited by Alexandru-Adrian Tantar, Emilia Tantar, Jian-Qiao Sun, Wei Zhang, Qian Ding, Oliver Schütze, Michael T M Emmerich, Pierrick Legrand, Moral Pierre Del, and Coello Carlos A Coello, 288:115–131. Advances in Intelligent Systems and Computing. Cham: Springer International Publishing, 2014. https://doi.org/10.1007/978-3-319-07494-8_9.
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2014 | Book Chapter | LibreCat-ID: 46382
Rudolph, G, O Schütze, C Grimme, and Heike Trautmann. “A Multiobjective Evolutionary Algorithm Guided by Averaged Hausdorff Distance to Aspiration Sets.” In EVOLVE — A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V, edited by A Tantar, E Tantar, J Sun, W Zhang, Q Ding, O Schütze, M Emmerich, P Legrand, Moral P Del, and Coello CA Coello, 288:261–273. Advances in Intelligent Systems and Computing. Springer International Publishing, 2014. https://doi.org/10.1007/978-3-319-07494-8_18.
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2014 | Conference Paper | LibreCat-ID: 46383
Rudolph, Günter, Christian Grimme, Oliver Schütze, and Heike Trautmann. “An Aspiration Set EMOA Based on Averaged Hausdorff Distances.” In Proceedings of the Learning and Intelligent OptimizatioN Conference (LION 8), 8426:153–156. Lecture Notes in Computer Science. Gainesville, Florida, USA: Springer, 2014.
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2014 | Conference Paper | LibreCat-ID: 46384
Wessing, S, M Preuss, and Heike Trautmann. “Stopping Criteria for Multimodal Optimization.” In Proceedings of the Parallel Problem Solving from Nature — PPSN XIII, edited by T Bartz-Beielstein, J Branke, B Filipic, and J Smith, 8672:141–150. Lecture Notes in Computer Science. Ljubljana, Slovenia: Springer, 2014. https://doi.org/10.1007/978-3-319-10762-2_14.
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2013 | Book Chapter | LibreCat-ID: 46385
Sosa, Hernández V, O Schütze, G Rudolph, and Heike Trautmann. “The Directed Search Method for Pareto Front Approximations with Maximum Dominated Hypervolume.” In EVOLVE — A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation IV, edited by M Emmerich, A Deutz, O Schuetze, T Bäck, A Tantar, PD Moral, P Legrand, P Bouvry, and CA Coello, 227:189–205. Advances in Intelligent Systems and Computing. Springer International Publishing, 2013. https://doi.org/10.1007/978-3-319-01128-8_13.
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2013 | Book Chapter | LibreCat-ID: 46386
Trautmann, Heike, G Rudolph, C Dominguez-Medina, and O Schütze. “Finding Evenly Spaced Pareto Fronts for Three-Objective Optimization Problems.” In EVOLVE — A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II, edited by O Schütze, Coello CA Coello, A Tantar, E Tantar, P Bouvry, Moral P Del, and P Legrand, 175:89–105. Advances in Intelligent Systems and Computing. Springer Berlin Heidelberg, 2013. https://doi.org/10.1007/978-3-642-31519-0_6.
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2013 | Conference Paper | LibreCat-ID: 46388
Nallaperuma, Samadhi, Markus Wagner, Frank Neumann, Bernd Bischl, Olaf Mersmann, and Heike Trautmann. “A Feature-Based Comparison of Local Search and the Christofides Algorithm for the Travelling Salesperson Problem.” In Proceedings of the Twelfth Workshop on Foundations of Genetic Algorithms XII, 147–160. FOGA XII ’13. New York, NY, USA: Association for Computing Machinery, 2013. https://doi.org/10.1145/2460239.2460253.
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2013 | Conference Paper | LibreCat-ID: 46390
Rudolph, G, Heike Trautmann, S Sengupta, and O Schütze. “Evenly Spaced Pareto Front Approximations for Tricriteria Problems Based on Triangulation.” In Evolutionary Multi-Criterion Optimization — 7$^th$ International Conference, EMO 2013, Sheffield, UK, Proceedings, edited by RC Purshouse, PJ Fleming, CM Fonseca, S Greco, and J Shaw, 7811:443–458. Lecture Notes in Computer Science. Springer, 2013. https://doi.org/10.1007/978-3-642-37140-0_34.
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2013 | Conference Paper | LibreCat-ID: 46391
Sosa-Hernandez, VA, O Schütze, G Rudoph, and Heike Trautmann. “Directed Search Method for Indicator-Based Multi-Objective Evolutionary Algorithms.” In Proceeding of the Fifteenth Annual Conference Companion on Genetic and Evolutionary Computation Conference Companion, 1699–1702. GECCO ’13 Companion. New York, NY, USA: ACM, 2013. https://doi.org/10.1145/2464576.2482756.
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2013 | Conference Paper | LibreCat-ID: 46387
Dominguez-Medina, C, G Rudolph, O Schütze, and Heike Trautmann. “Evenly Spaced Pareto Fronts of Quad-Objective Problems Using PSA Partitioning Technique.” In Proceedings of the 2013 IEEE Congress on Evolutionary Computation (CEC), 3190–3197. Cancun, Mexico, 2013. https://doi.org/10.1109/CEC.2013.6557960.
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2013 | Conference Paper | LibreCat-ID: 46389
Preuss, Mike, Daniel Kozakowski, Johan Hagelbäck, and Heike Trautmann. “Reactive Strategy Choice in StarCraft by Means of Fuzzy Control.” In 2013 IEEE Conference on Computational Inteligence in Games (CIG), 1–8, 2013. https://doi.org/10.1109/CIG.2013.6633627.
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2013 | Journal Article | LibreCat-ID: 46395
Trautmann, Heike, T Wagner, D Biermann, and C Weihs. “Indicator-Based Selection in Evolutionary Multiobjective Optimization Algorithms Based On the Desirability Index.” Journal of Multi-Criteria Decision Analysis 20, no. 5–6 (2013): 319–337. https://doi.org/10.1002/mcda.1503.
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2013 | Conference Paper | LibreCat-ID: 46393
Wagner, Tobias, Heike Trautmann, and Dimo Brockhoff. “Preference Articulation by Means of the R2 Indicator.” In Evolutionary Multi-Criterion Optimization, edited by Robin C. Purshouse, Peter J. Fleming, Carlos M. Fonseca, Salvatore Greco, and Jane Shaw, 81–95. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.
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2013 | Conference Paper | LibreCat-ID: 46392
Trautmann, Heike, Tobias Wagner, and Dimo Brockhoff. “R2-EMOA: Focused Multiobjective Search Using R2-Indicator-Based Selection.” In Learning and Intelligent Optimization, edited by Giuseppe Nicosia and Panos Pardalos, 70–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.
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2013 | Journal Article | LibreCat-ID: 46394
Mersmann, O, B Bischl, Heike Trautmann, M Wagner, J Bossek, and F Neumann. “A Novel Feature-Based Approach to Characterize Algorithm Performance for the Traveling Salesman Problem.” Annals of Mathematics and Artificial Intelligence 69 (2013): 151–182.
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2012 | Conference Paper | LibreCat-ID: 46397
Brockhoff, Dimo, Tobias Wagner, and Heike Trautmann. “On the Properties of the R2 Indicator.” In Proceedings of the 14th Annual Conference on Genetic and Evolutionary Computation, 465–472. GECCO ’12. New York, NY, USA: Association for Computing Machinery, 2012. https://doi.org/10.1145/2330163.2330230.
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2012 | Conference Paper | LibreCat-ID: 46396
Bischl, Bernd, Olaf Mersmann, Heike Trautmann, and Mike Preuß. “Algorithm Selection Based on Exploratory Landscape Analysis and Cost-Sensitive Learning.” In Proceedings of the 14th Annual Conference on Genetic and Evolutionary Computation, 313–320. GECCO ’12. New York, NY, USA: Association for Computing Machinery, 2012. https://doi.org/10.1145/2330163.2330209.
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2012 | Conference Paper | LibreCat-ID: 46398
Mersmann, Olaf, Bernd Bischl, Jakob Bossek, Heike Trautmann, Markus Wagner, and Frank Neumann. “Local Search and the Traveling Salesman Problem: A Feature-Based Characterization of Problem Hardness.” In Learning and Intelligent Optimization, edited by Youssef Hamadi and Marc Schoenauer, 115–129. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. https://doi.org/10.1007/978-3-642-34413-8_9.
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2012 | Journal Article | LibreCat-ID: 46399
Bischl, B, O Mersmann, Heike Trautmann, and C Weihs. “Resampling Methods in Model Validation.” Evolutionary Computation Journal 20, no. 2 (2012): 249–275. https://doi.org/10.1162/EVCO_a_00069.
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2012 | Journal Article | LibreCat-ID: 46400
Rudolph, G, Heike Trautmann, and O Schütze. “Homogene Approximation Der Paretofront Bei Mehrkriteriellen Kontrollproblemen.” At-Automatisierungstechnik 60 (2012): 610–621. https://doi.org/10.1524/auto.2012.1033.
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2011 | Conference Paper | LibreCat-ID: 46401
Mersmann, Olaf, Bernd Bischl, Heike Trautmann, Mike Preuss, Claus Weihs, and Günter Rudolph. “Exploratory Landscape Analysis.” In Proceedings of the 13th Annual Conference on Genetic and Evolutionary Computation, 829–836. GECCO ’11. New York, NY, USA: Association for Computing Machinery, 2011. https://doi.org/10.1145/2001576.2001690.
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2011 | Conference Paper | LibreCat-ID: 46402
Wagner, Tobias, Heike Trautmann, and Luis Martí. “A Taxonomy of Online Stopping Criteria for Multi-Objective Evolutionary Algorithms.” In Evolutionary Multi-Criterion Optimization, edited by Ricardo H. C. Takahashi, Kalyanmoy Deb, Elizabeth F. Wanner, and Salvatore Greco, 16–30. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. https://doi.org/10.1007/978-3-642-19893-9_2.
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2011 | Journal Article | LibreCat-ID: 46403
Naujoks, B, Heike Trautmann, S Wessing, and C Weihs. “Advanced Concepts for Multi-Objective Evolutionary Optimization in Aircraft Industry.” Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 225, no. 10 (2011): 1081–96. https://doi.org/10.1177/0954410011414120.
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2010 | Conference Paper | LibreCat-ID: 46408
Mostaghim, Sanaz, Heike Trautmann, and Olaf Mersmann. “Preference-Based Multi-Objective Particle Swarm Optimization Using Desirabilities.” In Parallel Problem Solving from Nature, PPSN XI, edited by Robert Schaefer, Carlos Cotta, Joanna Kołodziej, and Günter Rudolph, 101–110. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. https://doi.org/10.1007/978-3-642-15871-1_11.
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2010 | Conference Paper | LibreCat-ID: 46405
Mersmann, Olaf, Mike Preuss, and Heike Trautmann. “Benchmarking Evolutionary Algorithms: Towards Exploratory Landscape Analysis.” In Proceedings of the 11th International Conference on Parallel Problem Solving from Nature: Part I, 73–82. PPSN’10. Berlin, Heidelberg: Springer-Verlag, 2010.
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2010 | Conference Paper | LibreCat-ID: 46406
Mersmann, O, Heike Trautmann, B Naujoks, and C Weihs. “On the Distribution of EMOA Hypervolumes.” In Learning and Intelligent Optimization, 4$^th$ International Conference, LION 4, Venice, Italy, edited by C Blum and R Battiti, 6073:333–337. Lecture Notes in Computer Science. Springer, 2010.
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2010 | Conference Paper | LibreCat-ID: 46407
Mersmann, Olaf, Heike Trautmann, Boris Naujoks, and Claus Weihs. “Benchmarking Evolutionary Multiobjective Optimization Algorithms.” In IEEE Congress on Evolutionary Computation, 1–8, 2010. https://doi.org/10.1109/CEC.2010.5586241.
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2010 | Conference Paper | LibreCat-ID: 46404
Ding, J, S Wessing, Heike Trautmann, J Mehnen, and B Naujoks. “Sequential Parameter Optimisation for Multi-Objective Evolutionary Optimisation of Additive Layer Manufacturing.” In Proceedings of the 7$^th$ CIRP International Seminar on Intelligent Computation in Manufacturing Engineering (CIRP ICME ’10), edited by R Teti. Capri, Italy: Copyright C.O.C. Com. org. Conv., 2010.
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2010 | Conference Paper | LibreCat-ID: 46409
Voß, Thomas, Heike Trautmann, and Christian Igel. “New Uncertainty Handling Strategies in Multi-Objective Evolutionary Optimization.” In Parallel Problem Solving from Nature, PPSN XI, edited by Robert Schaefer, Carlos Cotta, Joanna Kołodziej, and Günter Rudolph, 260–269. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. https://doi.org/10.1007/978-3-642-15871-1_27.
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2010 | Journal Article | LibreCat-ID: 46412
Wagner, Tobias, and Heike Trautmann. “Integration of Preferences in Hypervolume-Based Multiobjective Evolutionary Algorithms by Means of Desirability Functions.” IEEE Transactions on Evolutionary Computation 14, no. 5 (2010): 688–701. https://doi.org/10.1109/TEVC.2010.2058119.
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2010 | Journal Article | LibreCat-ID: 46411
Azene, Y.T., R. Roy, D. Farrugia, C. Onisa, J. Mehnen, and Heike Trautmann. “Work Roll Cooling System Design Optimisation in Presence of Uncertainty and Constrains.” CIRP Journal of Manufacturing Science and Technology 2, no. 4 (2010): 290–98. https://doi.org/10.1016/j.cirpj.2010.06.001.
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2010 | Conference Paper | LibreCat-ID: 46410
Wagner, Tobias, and Heike Trautmann. “Online Convergence Detection for Evolutionary Multi-Objective Algorithms Revisited.” In IEEE Congress on Evolutionary Computation, 1–8, 2010. https://doi.org/10.1109/CEC.2010.5586474.
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2009 | Conference Paper | LibreCat-ID: 46414
Wagner, Tobias, Heike Trautmann, and Boris Naujoks. “OCD: Online Convergence Detection for Evolutionary Multi-Objective Algorithms Based on Statistical Testing.” In Evolutionary Multi-Criterion Optimization, edited by Matthias Ehrgott, Carlos M. Fonseca, Xavier Gandibleux, Jin-Kao Hao, and Marc Sevaux, 198–215. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. https://doi.org/10.1007/978-3-642-01020-0_19.
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| DOI
2009 | Conference Paper | LibreCat-ID: 46415
Trautmann, Heike, Jorn Mehnen, and Boris Naujoks. “Pareto-Dominance in Noisy Environments.” In 2009 IEEE Congress on Evolutionary Computation, 3119–26, 2009. https://doi.org/10.1109/CEC.2009.4983338.
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| DOI
2009 | Conference Paper | LibreCat-ID: 46413
Naujoks, Boris, and Heike Trautmann. “Online Convergence Detection for Multiobjective Aerodynamic Applications.” In 2009 IEEE Congress on Evolutionary Computation, 332–39, 2009. https://doi.org/10.1109/CEC.2009.4982966.
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2009 | Journal Article | LibreCat-ID: 46416
Trautmann, Heike, and J Mehnen. “Statistical Methods for Improving Multi-Objective Evolutionary Optimisation.” International Journal of Computational Intelligence Research 5, no. 2 (2009): 72–78.
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2009 | Journal Article | LibreCat-ID: 46418
Trautmann, Heike, T. Wagner, B. Naujoks, M. Preuss, and J. Mehnen. “Statistical Methods for Convergence Detection of Multi-Objective Evolutionary Algorithms.” Evolutionary Computation 17, no. 4 (2009): 493–509. https://doi.org/10.1162/evco.2009.17.4.17403.
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2009 | Journal Article | LibreCat-ID: 46417
Trautmann, Heike, and Jörn Mehnen. “Preference-Based Pareto Optimization in Certain and Noisy Environments.” Engineering Optimization 41, no. 1 (2009): 23–38. https://doi.org/10.1080/03052150802347926.
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| DOI
2008 | Conference Paper | LibreCat-ID: 46420
Trautmann, Heike, Uwe Ligges, Jörn Mehnen, and Mike Preuss. “A Convergence Criterion for Multiobjective Evolutionary Algorithms Based on Systematic Statistical Testing.” In Parallel Problem Solving from Nature – PPSN X, edited by Günter Rudolph, Thomas Jansen, Nicola Beume, Simon Lucas, and Carlo Poloni, 825–836. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008.
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2008 | Conference Paper | LibreCat-ID: 46419
Mehnen, J, and Heike Trautmann. “Robust Multi-Objective Optimisation of Weld Bead Geometry for Additive Manufacturing.” In Proceedings of the 6$^th$ CIRP International Seminar on Intelligent Computation in Manufacturing Engineering (CIRP ICME ’08), edited by R Teti. Naples, Italy: Copyright C.O.C. Com. org. Conv., 2008.
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2007 | Conference Paper | LibreCat-ID: 46421
Mehnen, Jorn, Heike Trautmann, and Ashutosh Tiwari. “Introducing User Preference Using Desirability Functions in Multi-Objective Evolutionary Optimisation of Noisy Processes.” In 2007 IEEE Congress on Evolutionary Computation, 2687–94, 2007. https://doi.org/10.1109/CEC.2007.4424810.
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2006 | Journal Article | LibreCat-ID: 46423
Trautmann, Heike, and C Weihs. “On the Distribution of the Desirability Index Using Harrington’s Desirability Function.” Metrika 63, no. 2 (2006): 207–213. https://doi.org/10.1007/s00184-005-0012-0.
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2006 | Conference Paper | LibreCat-ID: 46422
Mehnen, J, and Heike Trautmann. “Integration of Expert’s Preferences in Pareto Optimization by Desirability Function Techniques.” In CIRP ICME ’06) — Proceedings of the 5$^th$ CIRP International Seminar on Intelligent Computation in Manufacturing Engineering, edited by R Teti, 293–298. Ischia, Italy: C.O.C. Com. org. Conv. CIRP ICME ’06, 2006.
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