Heike Trautmann

Fakultät für Elektrotechnik, Informatik und Mathematik
htrautm@mail.uni-paderborn.de
ID
100740

130 Publications

Mark all

[130]
2024 | Book Chapter | LibreCat-ID: 52759
O. L. Preuß, J. Rook, and H. 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.
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[129]
2024 | Conference Paper | LibreCat-ID: 52749
M. Vinzent Seiler, J. Rook, J. Heins, O. L. Preuß, J. Bossek, and H. Trautmann, “Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP,” 2024, doi: 10.1109/ssci52147.2023.10372008.
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[128]
2023 | Conference Paper | LibreCat-ID: 47522
R. P. Prager et al., “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, 2023, pp. 129–139, doi: 10.1145/3594805.3607136.
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[127]
2023 | Conference Paper | LibreCat-ID: 46297
R. P. Prager and H. Trautmann, “Nullifying the Inherent Bias of Non-invariant Exploratory Landscape Analysis Features,” in Applications of Evolutionary Computation, 2023, pp. 411–425.
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[126]
2023 | Conference Paper | LibreCat-ID: 46298
L. Schäpermeier, P. Kerschke, C. Grimme, and H. Trautmann, “Peak-A-Boo! Generating Multi-objective Multiple Peaks Benchmark Problems with Precise Pareto Sets,” in Evolutionary Multi-Criterion Optimization, 2023, pp. 291–304.
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[125]
2023 | Journal Article | LibreCat-ID: 46299
R. P. Prager and H. Trautmann, “Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python,” Evolutionary Computation, pp. 1–25, 2023, doi: 10.1162/evco_a_00341.
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[124]
2023 | Journal Article | LibreCat-ID: 46310
J. Heins, J. Bossek, J. Pohl, M. Seiler, H. Trautmann, and P. Kerschke, “A study on the effects of normalized TSP features for automated algorithm selection,” Theoretical Computer Science, vol. 940, pp. 123–145, 2023, doi: https://doi.org/10.1016/j.tcs.2022.10.019.
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[123]
2023 | Conference Paper | LibreCat-ID: 52530
R. P. Prager and H. 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, 2023, pp. 451–454, doi: 10.1145/3583133.3590757.
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[122]
2023 | Conference Paper | LibreCat-ID: 48898
M. V. Seiler, J. Rook, J. Heins, O. L. Preuß, J. Bossek, and H. Trautmann, “Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP,” in 2023 IEEE Symposium Series on Computational Intelligence (SSCI), pp. 361–368, doi: 10.1109/SSCI52147.2023.10372008.
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[121]
2022 | Book Chapter | LibreCat-ID: 46300
M. Niemann, D. Assenmacher, J. Brunk, D. M. Riehle, J. Becker, and H. Trautmann, “(Semi-)Automatische Kommentarmoderation zur Erhaltung Konstruktiver Diskurse,” in Hate Speech — Definitionen, Ausprägungen, Lösungen, G. Weitzel and S. Mündges, Eds. Wiesbaden: VS Verlag für Sozialwissenschaften, 2022, pp. 249–274.
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[120]
2022 | Conference Paper | LibreCat-ID: 46301
D. Assenmacher and H. Trautmann, “Textual One-Pass Stream Clustering with Automated Distance Threshold Adaption,” in Intelligent Information and Database Systems, 2022, pp. 3–16, doi: 10.1007/978-3-031-21743-2_1.
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[119]
2022 | Journal Article | LibreCat-ID: 46316
D. Assenmacher et al., “Benchmarking Crisis in Social Media Analytics: A Solution for the Data-Sharing Problem,” Social Science Computer Review, vol. 40, no. 6, pp. 1496–1522, 2022, doi: 10.1177/08944393211012268.
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[118]
2022 | Conference Paper | LibreCat-ID: 46306
L. Schneider, L. Schäpermeier, R. P. Prager, B. Bischl, H. Trautmann, and P. Kerschke, “HPO x ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis,” in Parallel Problem Solving from Nature — PPSN XVII, 2022, pp. 575–589, doi: 10.1007/978-3-031-14714-2_40.
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[117]
2022 | Conference Paper | LibreCat-ID: 46307
M. V. Seiler, R. P. Prager, P. Kerschke, and H. 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, 2022, pp. 657–665, doi: 10.1145/3512290.3528834.
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[116]
2022 | Conference Paper | LibreCat-ID: 46304
R. P. Prager, M. V. Seiler, H. Trautmann, and P. 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, 2022, pp. 3–17, doi: 10.1007/978-3-031-14714-2_1.
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[115]
2022 | Conference Paper | LibreCat-ID: 46303
J. S. Pohl, D. Assenmacher, M. V. Seiler, H. Trautmann, and C. 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), 2022, pp. 1–10, doi: 10.36190/2022.91.
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[114]
2022 | Conference Paper | LibreCat-ID: 46305
J. Rook, H. 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, 2022, pp. 356–359–356–359, doi: 10.1145/3520304.3528998.
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[113]
2022 | Journal Article | LibreCat-ID: 46309
L. Clever, J. S. Pohl, J. Bossek, P. Kerschke, and H. Trautmann, “Process-Oriented Stream Classification Pipeline: A Literature Review,” Applied Sciences, vol. 12, no. 8, pp. 1–44, 2022, doi: 10.3390/app12189094.
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[112]
2022 | Journal Article | LibreCat-ID: 46308
P. Aspar, V. Steinhoff, L. Schäpermeier, P. Kerschke, H. Trautmann, and C. Grimme, “The objective that freed me: a multi-objective local search approach for continuous single-objective optimization,” Natural Computing, vol. 1, pp. 1–15, 2022, doi: 10.1007/s11047-022-09919-w.
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[111]
2022 | Conference Paper | LibreCat-ID: 46302
J. Heins, J. Rook, L. Schäpermeier, P. Kerschke, J. Bossek, and H. Trautmann, “BBE: Basin-Based Evaluation of Multimodal Multi-objective Optimization Problems,” in Parallel Problem Solving from Nature — PPSN XVII, 2022, pp. 192–206.
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[110]
2022 | Journal Article | LibreCat-ID: 52532
A. S. Rodrigues et al., “Estimation of component reliability from superposed renewal processes by means of latent variables,” Comput. Stat., vol. 37, no. 1, pp. 355–379, 2022, doi: 10.1007/S00180-021-01124-0.
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[109]
2021 | Journal Article | LibreCat-ID: 46318
C. Grimme et al., “Peeking beyond peaks: Challenges and research potentials of continuous multimodal multi-objective optimization,” Computers & Operations Research, vol. 136, p. 105489, 2021, doi: https://doi.org/10.1016/j.cor.2021.105489.
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[108]
2021 | Conference Paper | LibreCat-ID: 46313
J. Heins, J. Bossek, J. Pohl, M. Seiler, H. Trautmann, and P. 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), 2021, pp. 1–15, doi: 10.1145/3450218.3477308.
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[107]
2021 | Conference Paper | LibreCat-ID: 46311
P. Aspar, P. Kerschke, V. Steinhoff, H. Trautmann, and C. 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, 2021, pp. 311–322, doi: 10.1007/978-3-030-72062-9_25.
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[106]
2021 | Journal Article | LibreCat-ID: 46317
C. Coombs et al., “What Is It About Humanity That We Can’t Give Away To Intelligent Machines? A European Perspective,” International Journal of Information Management, vol. 58, 2021, doi: 10.1016/j.ijinfomgt.2021.102311.
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[105]
2021 | Conference Paper | LibreCat-ID: 46315
R. P. Prager, M. Vinzent Seiler, H. Trautmann, and P. Kerschke, “Towards Feature-Free Automated Algorithm Selection for Single-Objective Continuous Black-Box Optimization,” in 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 2021, pp. 1–8, doi: 10.1109/SSCI50451.2021.9660174.
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[104]
2021 | Conference Paper | LibreCat-ID: 46312
D. Assenmacher, M. Niemann, K. Müller, M. V. Seiler, D. M. Riehle, and H. 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), 2021, pp. 1–14.
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[103]
2020 | Conference Paper | LibreCat-ID: 46319
D. Assenmacher, L. Adam, H. Trautmann, and C. Grimme, “Towards Real-Time and Unsupervised Campaign Detection in Social Media,” 2020.
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[102]
2020 | Conference Paper | LibreCat-ID: 46328
R. P. Prager, H. Trautmann, H. Wang, T. H. W. Bäck, and P. 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), 2020, pp. 996–1003, doi: 10.1109/SSCI47803.2020.9308510.
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[101]
2020 | Conference Paper | LibreCat-ID: 46320
D. Assenmacher, L. Clever, J. Pohl, H. 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, 2020, pp. 201–214, doi: 10.1007/978-3-030-49570-1_14.
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[100]
2020 | Conference Paper | LibreCat-ID: 46325
M. Carnein, H. Trautmann, A. Bifet, and B. 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), 2020, pp. 137–143, doi: 10.1007/978-3-030-43823-4_12.
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[99]
2020 | Conference Paper | LibreCat-ID: 46321
D. Assenmacher, L. Frischlich , H. Trautmann, C. Grimme, and L. Adam, “Inside the tool set of automation: Free social bot code revisited,” in Disinformation in open online media, 2020, pp. 101–114.
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[98]
2020 | Conference Paper | LibreCat-ID: 46326
M. Carnein, H. Trautmann, A. Bifet, and B. Pfahringer, “confStream: Automated Algorithm Selection and Configuration of Stream Clustering Algorithms,” in Proceedings of the 14$^th$ Learning and Intelligent Optimization Conference (LION 2020), 2020, pp. 80–95, doi: 10.1007/978-3-030-53552-0_10.
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[97]
2020 | Conference Paper | LibreCat-ID: 46324
J. Bossek, P. Kerschke, and H. Trautmann, “Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection,” in Proceedings of the IEEE Congress on Evolutionary Computation (CEC), 2020, pp. 1–8.
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[96]
2020 | Conference Paper | LibreCat-ID: 46322
J. Bossek, C. Grimme, G. Rudolph, and H. Trautmann, “Towards Decision Support in Dynamic Bi-Objective Vehicle Routing,” in Proceedings of the IEEE Congress on Evolutionary Computation (CEC), 2020, pp. 1–8, doi: 10.1109/CEC48606.2020.9185778.
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[95]
2020 | Conference Paper | LibreCat-ID: 46323
J. Bossek, C. Grimme, and H. Trautmann, “Dynamic Bi-Objective Routing of Multiple Vehicles,” in Proceedings of the Genetic and Evolutionary Computation Conference (GECCO ’20), 2020, pp. 166–174.
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[94]
2020 | Conference Paper | LibreCat-ID: 46327
C. Lena, L. Frischlich, H. Trautmann, and C. Grimme, “Automated detection of nostalgic text in the context of societal pessimism,” in Disinformation in open online media, 2020, pp. 48–58.
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[93]
2020 | Conference Paper | LibreCat-ID: 46330
M. V. Seiler, J. Pohl, J. Bossek, P. Kerschke, and H. 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), 2020, pp. 48–64, doi: 10.1007/978-3-030-58112-1_4.
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[92]
2020 | Conference Paper | LibreCat-ID: 46329
D. M. Riehle, M. Niemann, J. Brunk, D. Assenmacher, H. Trautmann, and J. 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, 2020, pp. 71–86.
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[91]
2020 | Journal Article | LibreCat-ID: 46333
D. Assenmacher, L. Clever, L. Frischlich, T. Quandt, H. Trautmann, and C. Grimme, “Demystifying Social Bots: On the Intelligence of Automated Social Media Actors,” Social Media + Society, vol. 6, no. 3, p. 2056305120939264, 2020, doi: 10.1177/2056305120939264.
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[90]
2020 | Journal Article | LibreCat-ID: 46334
J. Bossek, P. Kerschke, and H. Trautmann, “A multi-objective perspective on performance assessment and automated selection of single-objective optimization algorithms,” Applied Soft Computing, vol. 88, p. 105901, 2020, doi: https://doi.org/10.1016/j.asoc.2019.105901.
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[89]
2020 | Conference Paper | LibreCat-ID: 46331
M. V. Seiler, H. Trautmann, and P. Kerschke, “Enhancing Resilience of Deep Learning Networks By Means of Transferable Adversaries,” in Proceedings of the International Joint Conference on Neural Networks (IJCNN), 2020, pp. 1–8, doi: 10.1109/IJCNN48605.2020.9207338.
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[88]
2020 | Conference Paper | LibreCat-ID: 46332
V. Steinhoff, P. Kerschke, P. Aspar, H. Trautmann, and C. 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), 2020, pp. 2445–2452, doi: 10.1109/SSCI47803.2020.9308259.
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[87]
2019 | Conference Paper | LibreCat-ID: 46338
J. Bossek, C. Grimme, S. Meisel, G. Rudolph, and H. Trautmann, “Bi-Objective Orienteering: Towards a Dynamic Multi-Objective Evolutionary Algorithm,” in Evolutionary Multi-Criterion Optimization (EMO), 2019, vol. 11411, pp. 516–528, doi: 10.1007/978-3-030-12598-1_41.
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[86]
2019 | Conference Paper | LibreCat-ID: 46343
C. Grimme, P. Kerschke, and H. Trautmann, “Multimodality in Multi-Objective Optimization — More Boon than Bane?,” in Proceedings of the 10$^th$ International Conference on Evolutionary Multi-Criterion Optimization (EMO), 2019, vol. 11411, pp. 126–138, doi: 10.1007/978-3-030-12598-1_11.
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[85]
2019 | Journal Article | LibreCat-ID: 46345
P. Kerschke, H. H. Hoos, F. Neumann, and H. Trautmann, “Automated Algorithm Selection: Survey and Perspectives,” Evolutionary Computation (ECJ), vol. 27, no. 1, pp. 3–45, 2019, doi: 10.1162/evco_a_00242.
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[84]
2019 | Conference Paper | LibreCat-ID: 46339
J. Bossek, P. Kerschke, A. Neumann, M. Wagner, F. Neumann, and H. 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), 2019, pp. 58–71, doi: 10.1145/3299904.3340307.
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[83]
2019 | Conference Paper | LibreCat-ID: 46337
J. Bossek and H. Trautmann, “Multi-Objective Performance Measurement: Alternatives to PAR10 and Expected Running Time,” in Learning and Intelligent Optimization, 2019, vol. 11353, pp. 215–219.
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[82]
2019 | Journal Article | LibreCat-ID: 46344
M. Carnein and H. Trautmann, “Optimizing Data Stream Representation: An Extensive Survey on Stream Clustering Algorithms,” Business and Information Systems Engineering (BISE), vol. 61, no. 3, pp. 277–297, 2019.
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[81]
2019 | Conference Paper | LibreCat-ID: 46340
M. Carnein, L. Homann, H. Trautmann, and G. Vossen, “A Recommender System Based on Omni-Channel Customer Data,” in Proceedings of the 21$^st$ IEEE Conference on Business Informatics (CBI’ 19), 2019, pp. 65–74.
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[80]
2019 | Conference Paper | LibreCat-ID: 46341
M. Carnein and H. 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), 2019, pp. 280–292.
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[79]
2019 | Conference Paper | LibreCat-ID: 46342
C. Grimme, P. Kerschke, M. T. M. Emmerich, M. Preuss, A. H. Deutz, and H. Trautmann, “Sliding to the Global Optimum: How to Benefit from Non-Global Optima in Multimodal Multi-Objective Optimization,” in AIP Conference Proceedings, 2019, pp. 020052-1-020052–4, doi: 10.1063/1.5090019.
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[78]
2019 | Book Chapter | LibreCat-ID: 46336
P. Kerschke and H. Trautmann, “Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-package flacco,” in Applications in Statistical Computing, N. Bauer, K. Ickstadt, K. Lübke, G. Szepannek, H. Trautmann, and M. Vichi, Eds. Springer, 2019, pp. 93–123.
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[77]
2019 | Book | LibreCat-ID: 46335
H. Trautmann, Applications in Statistical Computing — From Music Data Analysis to Industrial Quality Improvement. Springer International Publishing, 2019.
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[76]
2019 | Journal Article | LibreCat-ID: 46346
P. Kerschke and H. Trautmann, “Automated Algorithm Selection on Continuous Black-Box Problems By Combining Exploratory Landscape Analysis and Machine Learning,” Evolutionary Computation (ECJ), vol. 27, no. 1, pp. 99–127, 2019, doi: 10.1162/evco_a_00236.
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[75]
2019 | Journal Article | LibreCat-ID: 46347
P. Kerschke et al., “Search Dynamics on Multimodal Multi-Objective Problems,” Evolutionary Computation (ECJ), vol. 27, no. 4, pp. 577–609, 2019, doi: 10.1162/evco_a_00234.
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[74]
2018 | Conference Paper | LibreCat-ID: 46350
J. E. van Engelen, J. J. van Lier, F. W. Takes, and H. 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), 2018, pp. 524–540.
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[73]
2018 | Conference Paper | LibreCat-ID: 46348
J. Bossek, C. Grimme, S. Meisel, G. Rudolph, and H. Trautmann, “Local Search Effects in Bi-Objective Orienteering,” in Proceedings of the Genetic and Evolutionary Computation Conference, 2018, pp. 585–592, doi: 10.1145/3205455.3205548.
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[72]
2018 | Journal Article | LibreCat-ID: 46351
M. Carnein and H. Trautmann, “evoStream — Evolutionary Stream Clustering Utilizing Idle Times,” Big Data Research, vol. 14, pp. 101–111, 2018, doi: 10.1016/j.bdr.2018.05.005.
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[71]
2018 | Journal Article | LibreCat-ID: 46353
L. Li, Y. Wang, H. Trautmann, N. Jing, and M. Emmerich, “Multiobjective evolutionary algorithms based on target region preferences,” Swarm and Evolutionary Computation, vol. 40, pp. 196–215, 2018, doi: 10.1016/j.swevo.2018.02.006.
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[70]
2018 | Journal Article | LibreCat-ID: 46352
P. Kerschke, L. Kotthoff, J. Bossek, H. H. Hoos, and H. Trautmann, “Leveraging TSP Solver Complementarity through Machine Learning,” Evolutionary Computation (ECJ), vol. 26, no. 4, pp. 597–620, 2018, doi: 10.1162/evco_a_00215.
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[69]
2018 | Conference Paper | LibreCat-ID: 46349
P. Kerschke, J. Bossek, and H. 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, 2018, pp. 1737–1744, doi: 10.1145/3205651.3208233.
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[68]
2017 | Book Chapter | LibreCat-ID: 46355
S. H. V. Adrián, A. Lara, H. Trautmann, G. Rudolph, and O. Schütze, “The Directed Search Method for Unconstrained Parameter Dependent Multi-objective Optimization Problems,” in NEO 15, O. Schütze, L. Trujillo, P. Legrand, and Y. Maldonado, Eds. Cham: Springer International Publishing, 2017, pp. 281–330.
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[67]
2017 | Conference Paper | LibreCat-ID: 46360
M. Carnein et al., “Towards Efficient and Informative Omni-Channel Customer Relationship Management,” in Proceedings of the 36$^th$ International Conference on Conceptual Modeling (ER’17), 2017, vol. 10651, pp. 69–78, doi: 10.1007/978-3-319-70625-2_7.
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[66]
2017 | Conference Paper | LibreCat-ID: 46361
M. Carnein, L. Homann, H. Trautmann, G. Vossen, and K. 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), 2017, vol. P-266, pp. 33–40.
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[65]
2017 | Book Chapter | LibreCat-ID: 46356
L. Li, I. Yevseyeva, V. Basto-Fernandes, H. 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, H. Trautmann, G. Rudolph, K. Klamroth, O. Schütze, M. Wiecek, Y. Jin, and C. Grimme, Eds. Cham: Springer International Publishing, 2017, pp. 406–421.
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[64]
2017 | Book Chapter | LibreCat-ID: 46357
K. Tierney, J. Handali, C. Grimme, and H. 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, H. Trautmann, G. Rudolph, K. Klamroth, O. Schütze, M. Wiecek, Y. Jin, and C. Grimme, Eds. Cham: Springer International Publishing, 2017, pp. 622–638.
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[63]
2017 | Conference Paper | LibreCat-ID: 46359
M. Carnein, D. Assenmacher, and H. Trautmann, “Stream Clustering of Chat Messages with Applications to Twitch Streams,” in Proceedings of the 36$^th$ International Conference on Conceptual Modeling (ER’17), 2017, pp. 79–88, doi: 10.1007/978-3-319-70625-2_8.
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[62]
2017 | Journal Article | LibreCat-ID: 46362
C. Grimme, M. Preuss, L. Adam, and H. Trautmann, “Social Bots: Human-Like by Means of Human Control?,” Big Data, vol. 5, no. 4, pp. 279–293, 2017, doi: 10.1089/big.2017.0044.
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[61]
2017 | Conference Paper | LibreCat-ID: 46358
M. Carnein, D. Assenmacher, and H. Trautmann, “An Empirical Comparison of Stream Clustering Algorithms,” in Proceedings of the ACM International Conference on Computing Frontiers (CF ’17), 2017, pp. 361–365, doi: 10.1145/3075564.3078887.
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[60]
2016 | Conference Paper | LibreCat-ID: 46364
A. Blot, H. Hoos, L. Jourdan, M. Marmion, and H. Trautmann, “MO-ParamILS: A Multi-objective Automatic Algorithm Configuration Framework,” in LION 2016: Learning and Intelligent Optimization, 2016, vol. 10079, pp. 32–47, doi: 10.1007/978-3-319-50349-3_3.
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[59]
2016 | Book Chapter | LibreCat-ID: 46363
G. Rudolph, O. Schütze, and H. 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, G. Squillero and P. Burelli, Eds. Cham: Springer International Publishing, 2016, pp. 42–55.
LibreCat | DOI
 
[58]
2016 | Conference Paper | LibreCat-ID: 46365
J. Bossek and H. Trautmann, “Evolving Instances for Maximizing Performance Differences of State-of-The-Art Inexact TSP Solvers,” in Learning and Intelligent Optimization, 2016, vol. 10079, pp. 48–59, doi: 10.1007/978-3-319-50349-3_4.
LibreCat | DOI
 
[57]
2016 | Conference Paper | LibreCat-ID: 46366
J. Bossek and H. 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, 2016, vol. 10037, pp. 3–12, doi: 10.1007/978-3-319-49130-1_1.
LibreCat | DOI
 
[56]
2016 | Conference Paper | LibreCat-ID: 46369
P. Kerschke et al., “Towards Analyzing Multimodality of Multiobjective Landscapes,” in Proceedings of the 14$^th$ International Conference on Parallel Problem Solving from Nature (PPSN XIV), 2016, pp. 962–972, doi: 10.1007/978-3-319-45823-6_90.
LibreCat | DOI
 
[55]
2016 | Conference Paper | LibreCat-ID: 46367
P. Kerschke, M. Preuss, S. Wessing, and H. Trautmann, “Low-Budget Exploratory Landscape Analysis on Multiple Peaks Models,” in Proceedings of the 18$^th$ Annual Conference on Genetic and Evolutionary Computation, 2016, pp. 229–236, doi: 10.1145/2908812.2908845.
LibreCat | DOI
 
[54]
2016 | Journal Article | LibreCat-ID: 46371
G. Rudolph, O. Schütze, C. Grimme, C. Domínguez-Medina, and H. Trautmann, “Optimal averaged Hausdorff archives for bi-objective problems: theoretical and numerical results,” Computational Optimization and Applications (Comput. Optim. Appl.), vol. 64, no. 2, pp. 589–618, 2016, doi: 10.1007/s10589-015-9815-8.
LibreCat | DOI
 
[53]
2016 | Journal Article | LibreCat-ID: 46372
O. Schütze, H. V. Sosa, H. Trautmann, and G. Rudolph, “The Hypervolume based Directed Search Method for Multi-Objective Optimization Problems,” Journal of Heuristics, vol. 22, no. 3, pp. 273–300, 2016, doi: 10.1007/s10732-016-9310-0.
LibreCat | DOI
 
[52]
2016 | Conference Paper | LibreCat-ID: 46368
P. Kerschke and H. Trautmann, “The R-Package FLACCO for Exploratory Landscape Analysis with Applications to Multi-Objective Optimization Problems,” 2016, doi: 10.1109/CEC.2016.7748359.
LibreCat | DOI
 
[51]
2016 | Journal Article | LibreCat-ID: 46370
F. Neumann and H. 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, vol. 5, no. 5, pp. 78–79, 2016, doi: 10.4230/DagRep.5.5.57.
LibreCat | DOI
 
[50]
2015 | Conference Paper | LibreCat-ID: 46373
A. Chinnov, P. Kerschke, C. Meske, S. Stieglitz, and H. 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), 2015, pp. 1–10.
LibreCat
 
[49]
2015 | Conference Paper | LibreCat-ID: 46375
P. Kerschke, M. Preuss, S. Wessing, and H. Trautmann, “Detecting Funnel Structures by Means of Exploratory Landscape Analysis,” in Proceedings of the Genetic and Evolutionary Computation Conference (GECCO ’15), 2015, pp. 265–272, doi: 10.1145/2739480.2754642.
LibreCat | DOI
 
[48]
2015 | Conference Paper | LibreCat-ID: 46377
S. Meisel, C. Grimme, J. Bossek, M. Wölck, G. Rudolph, and H. 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), 2015, pp. 425–432, doi: 10.1145/2739480.2754705.
LibreCat | DOI
 
[47]
2015 | Conference Paper | LibreCat-ID: 46376
L. Kotthoff, P. Kerschke, H. Hoos, and H. Trautmann, “Improving the State of the Art in Inexact TSP Solving Using Per-Instance Algorithm Selection,” in Learning and Intelligent Optimization, 2015, pp. 202–217.
LibreCat
 
[46]
2015 | Journal Article | LibreCat-ID: 46379
D. Brockhoff, T. Wagner, and H. Trautmann, “R2 Indicator Based Multiobjective Search,” Evolutionary Computation Journal, vol. 23, no. 3, pp. 369–395, 2015, doi: 10.1162/EVCO_a_00135.
LibreCat | DOI
 
[45]
2015 | Conference Paper | LibreCat-ID: 46374
C. Grimme, S. Meisel, H. Trautmann, G. Rudolph, and M. Wölck, “Multi-Objective Analysis of Approaches to Dynamic Routing Of a Vehicle,” 2015.
LibreCat
 
[44]
2015 | Journal Article | LibreCat-ID: 46380
O. Mersmann, M. Preuss, H. Trautmann, B. Bischl, and C. Weihs, “Analyzing the BBOB Results by Means of Benchmarking Concepts,” Evolutionary Computation Journal, vol. 23, no. 1, pp. 161–185, 2015.
LibreCat
 
[43]
2014 | Book Chapter | LibreCat-ID: 46381
P. Kerschke et al., “Cell Mapping Techniques for Exploratory Landscape Analysis,” in EVOLVE — A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V, vol. 288, A.-A. Tantar, E. Tantar, J.-Q. Sun, W. Zhang, Q. Ding, O. Schütze, M. T. M. Emmerich, P. Legrand, M. P. Del, and C. C. A. Coello, Eds. Cham: Springer International Publishing, 2014, pp. 115–131.
LibreCat | DOI
 
[42]
2014 | Book Chapter | LibreCat-ID: 46382
G. Rudolph, O. Schütze, C. Grimme, and H. 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, vol. 288, A. Tantar, E. Tantar, J. Sun, W. Zhang, Q. Ding, O. Schütze, M. Emmerich, P. Legrand, M. P. Del, and C. C. Coello, Eds. Springer International Publishing, 2014, pp. 261–273.
LibreCat | DOI
 
[41]
2014 | Conference Paper | LibreCat-ID: 46383
G. Rudolph, C. Grimme, O. Schütze, and H. Trautmann, “An Aspiration Set EMOA Based on Averaged Hausdorff Distances,” in Proceedings of the Learning and Intelligent OptimizatioN Conference (LION 8), 2014, vol. 8426, pp. 153–156.
LibreCat
 
[40]
2014 | Conference Paper | LibreCat-ID: 46384
S. Wessing, M. Preuss, and H. Trautmann, “Stopping Criteria for Multimodal Optimization,” in Proceedings of the Parallel Problem Solving from Nature — PPSN XIII, 2014, vol. 8672, pp. 141–150, doi: 10.1007/978-3-319-10762-2_14.
LibreCat | DOI
 
[39]
2013 | Book Chapter | LibreCat-ID: 46385
H. V. Sosa, O. Schütze, G. Rudolph, and H. 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, vol. 227, M. Emmerich, A. Deutz, O. Schuetze, T. Bäck, A. Tantar, P. Moral, P. Legrand, P. Bouvry, and C. Coello, Eds. Springer International Publishing, 2013, pp. 189–205.
LibreCat | DOI
 
[38]
2013 | Book Chapter | LibreCat-ID: 46386
H. Trautmann, 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, vol. 175, O. Schütze, C. C. Coello, A. Tantar, E. Tantar, P. Bouvry, M. P. Del, and P. Legrand, Eds. Springer Berlin Heidelberg, 2013, pp. 89–105.
LibreCat | DOI
 
[37]
2013 | Conference Paper | LibreCat-ID: 46388
S. Nallaperuma, M. Wagner, F. Neumann, B. Bischl, O. Mersmann, and H. 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, 2013, pp. 147–160, doi: 10.1145/2460239.2460253.
LibreCat | DOI
 
[36]
2013 | Conference Paper | LibreCat-ID: 46390
G. Rudolph, H. 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, 2013, vol. 7811, pp. 443–458, doi: https://doi.org/10.1007/978-3-642-37140-0_34.
LibreCat | DOI
 
[35]
2013 | Conference Paper | LibreCat-ID: 46391
V. Sosa-Hernandez, O. Schütze, G. Rudoph, and H. 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, 2013, pp. 1699–1702, doi: 10.1145/2464576.2482756.
LibreCat | DOI
 
[34]
2013 | Conference Paper | LibreCat-ID: 46387
C. Dominguez-Medina, G. Rudolph, O. Schütze, and H. Trautmann, “Evenly spaced Pareto fronts of quad-objective problems using PSA partitioning technique,” in Proceedings of the 2013 IEEE Congress on Evolutionary Computation (CEC), 2013, pp. 3190–3197, doi: https://doi.org/10.1109/CEC.2013.6557960.
LibreCat | DOI
 
[33]
2013 | Conference Paper | LibreCat-ID: 46389
M. Preuss, D. Kozakowski, J. Hagelbäck, and H. Trautmann, “Reactive strategy choice in StarCraft by means of Fuzzy Control,” in 2013 IEEE Conference on Computational Inteligence in Games (CIG), 2013, pp. 1–8, doi: 10.1109/CIG.2013.6633627.
LibreCat | DOI
 
[32]
2013 | Journal Article | LibreCat-ID: 46395
H. Trautmann, 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, vol. 20, no. 5–6, pp. 319–337, 2013, doi: https://doi.org/10.1002/mcda.1503.
LibreCat | DOI
 
[31]
2013 | Conference Paper | LibreCat-ID: 46393
T. Wagner, H. Trautmann, and D. Brockhoff, “Preference Articulation by Means of the R2 Indicator,” in Evolutionary Multi-Criterion Optimization, 2013, pp. 81–95.
LibreCat
 
[30]
2013 | Conference Paper | LibreCat-ID: 46392
H. Trautmann, T. Wagner, and D. Brockhoff, “R2-EMOA: Focused Multiobjective Search Using R2-Indicator-Based Selection,” in Learning and Intelligent Optimization, 2013, pp. 70–74.
LibreCat
 
[29]
2013 | Journal Article | LibreCat-ID: 46394
O. Mersmann, B. Bischl, H. 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, vol. 69, pp. 151–182, 2013.
LibreCat
 
[28]
2012 | Conference Paper | LibreCat-ID: 46397
D. Brockhoff, T. Wagner, and H. Trautmann, “On the Properties of the R2 Indicator,” in Proceedings of the 14th Annual Conference on Genetic and Evolutionary Computation, 2012, pp. 465–472, doi: 10.1145/2330163.2330230.
LibreCat | DOI
 
[27]
2012 | Conference Paper | LibreCat-ID: 46396
B. Bischl, O. Mersmann, H. Trautmann, and M. Preuß, “Algorithm Selection Based on Exploratory Landscape Analysis and Cost-Sensitive Learning,” in Proceedings of the 14th Annual Conference on Genetic and Evolutionary Computation, 2012, pp. 313–320, doi: 10.1145/2330163.2330209.
LibreCat | DOI
 
[26]
2012 | Conference Paper | LibreCat-ID: 46398
O. Mersmann, B. Bischl, J. Bossek, H. Trautmann, M. Wagner, and F. Neumann, “Local Search and the Traveling Salesman Problem: A Feature-Based Characterization of Problem Hardness,” in Learning and Intelligent Optimization, 2012, pp. 115–129, doi: https://doi.org/10.1007/978-3-642-34413-8_9.
LibreCat | DOI
 
[25]
2012 | Journal Article | LibreCat-ID: 46399
B. Bischl, O. Mersmann, H. Trautmann, and C. Weihs, “Resampling Methods in Model Validation,” Evolutionary Computation Journal, vol. 20, no. 2, pp. 249–275, 2012, doi: 10.1162/EVCO_a_00069.
LibreCat | DOI
 
[24]
2012 | Journal Article | LibreCat-ID: 46400
G. Rudolph, H. Trautmann, and O. Schütze, “Homogene Approximation der Paretofront bei mehrkriteriellen Kontrollproblemen,” at-Automatisierungstechnik, vol. 60, pp. 610–621, 2012, doi: 10.1524/auto.2012.1033.
LibreCat | DOI
 
[23]
2011 | Conference Paper | LibreCat-ID: 46401
O. Mersmann, B. Bischl, H. Trautmann, M. Preuss, C. Weihs, and G. Rudolph, “Exploratory Landscape Analysis,” in Proceedings of the 13th Annual Conference on Genetic and Evolutionary Computation, 2011, pp. 829–836, doi: 10.1145/2001576.2001690.
LibreCat | DOI
 
[22]
2011 | Conference Paper | LibreCat-ID: 46402
T. Wagner, H. Trautmann, and L. Martí, “A Taxonomy of Online Stopping Criteria for Multi-Objective Evolutionary Algorithms,” in Evolutionary Multi-Criterion Optimization, 2011, pp. 16–30, doi: https://doi.org/10.1007/978-3-642-19893-9_2.
LibreCat | DOI
 
[21]
2011 | Journal Article | LibreCat-ID: 46403
B. Naujoks, H. 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, vol. 225, no. 10, pp. 1081–1096, 2011, doi: 10.1177/0954410011414120.
LibreCat | DOI
 
[20]
2010 | Conference Paper | LibreCat-ID: 46408
S. Mostaghim, H. Trautmann, and O. Mersmann, “Preference-Based Multi-Objective Particle Swarm Optimization Using Desirabilities,” in Parallel Problem Solving from Nature, PPSN XI, 2010, pp. 101–110, doi: https://doi.org/10.1007/978-3-642-15871-1_11.
LibreCat | DOI
 
[19]
2010 | Conference Paper | LibreCat-ID: 46405
O. Mersmann, M. Preuss, and H. Trautmann, “Benchmarking Evolutionary Algorithms: Towards Exploratory Landscape Analysis,” in Proceedings of the 11th International Conference on Parallel Problem Solving from Nature: Part I, 2010, pp. 73–82.
LibreCat
 
[18]
2010 | Conference Paper | LibreCat-ID: 46406
O. Mersmann, H. 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, 2010, vol. 6073, pp. 333–337.
LibreCat
 
[17]
2010 | Conference Paper | LibreCat-ID: 46407
O. Mersmann, H. Trautmann, B. Naujoks, and C. Weihs, “Benchmarking evolutionary multiobjective optimization algorithms,” in IEEE Congress on Evolutionary Computation, 2010, pp. 1–8, doi: 10.1109/CEC.2010.5586241.
LibreCat | DOI
 
[16]
2010 | Conference Paper | LibreCat-ID: 46404
J. Ding, S. Wessing, H. 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), 2010.
LibreCat
 
[15]
2010 | Conference Paper | LibreCat-ID: 46409
T. Voß, H. Trautmann, and C. Igel, “New Uncertainty Handling Strategies in Multi-objective Evolutionary Optimization,” in Parallel Problem Solving from Nature, PPSN XI, 2010, pp. 260–269, doi: https://doi.org/10.1007/978-3-642-15871-1_27.
LibreCat | DOI
 
[14]
2010 | Journal Article | LibreCat-ID: 46412
T. Wagner and H. Trautmann, “Integration of Preferences in Hypervolume-Based Multiobjective Evolutionary Algorithms by Means of Desirability Functions,” IEEE Transactions on Evolutionary Computation, vol. 14, no. 5, pp. 688–701, 2010, doi: 10.1109/TEVC.2010.2058119.
LibreCat | DOI
 
[13]
2010 | Journal Article | LibreCat-ID: 46411
Y. T. Azene, R. Roy, D. Farrugia, C. Onisa, J. Mehnen, and H. Trautmann, “Work roll cooling system design optimisation in presence of uncertainty and constrains,” CIRP Journal of Manufacturing Science and Technology, vol. 2, no. 4, pp. 290–298, 2010, doi: https://doi.org/10.1016/j.cirpj.2010.06.001.
LibreCat | DOI
 
[12]
2010 | Conference Paper | LibreCat-ID: 46410
T. Wagner and H. Trautmann, “Online convergence detection for evolutionary multi-objective algorithms revisited,” in IEEE Congress on Evolutionary Computation, 2010, pp. 1–8, doi: 10.1109/CEC.2010.5586474.
LibreCat | DOI
 
[11]
2009 | Conference Paper | LibreCat-ID: 46414
T. Wagner, H. Trautmann, and B. Naujoks, “OCD: Online Convergence Detection for Evolutionary Multi-Objective Algorithms Based on Statistical Testing,” in Evolutionary Multi-Criterion Optimization, 2009, pp. 198–215, doi: https://doi.org/10.1007/978-3-642-01020-0_19.
LibreCat | DOI
 
[10]
2009 | Conference Paper | LibreCat-ID: 46415
H. Trautmann, J. Mehnen, and B. Naujoks, “Pareto-dominance in noisy environments,” in 2009 IEEE Congress on Evolutionary Computation, 2009, pp. 3119–3126, doi: 10.1109/CEC.2009.4983338.
LibreCat | DOI
 
[9]
2009 | Conference Paper | LibreCat-ID: 46413
B. Naujoks and H. Trautmann, “Online convergence detection for multiobjective aerodynamic applications,” in 2009 IEEE Congress on Evolutionary Computation, 2009, pp. 332–339, doi: 10.1109/CEC.2009.4982966.
LibreCat | DOI
 
[8]
2009 | Journal Article | LibreCat-ID: 46416
H. Trautmann and J. Mehnen, “Statistical Methods for Improving Multi-objective Evolutionary Optimisation,” International Journal of Computational Intelligence Research, vol. 5, no. 2, pp. 72–78, 2009.
LibreCat
 
[7]
2009 | Journal Article | LibreCat-ID: 46418
H. Trautmann, T. Wagner, B. Naujoks, M. Preuss, and J. Mehnen, “Statistical Methods for Convergence Detection of Multi-Objective Evolutionary Algorithms,” Evolutionary Computation, vol. 17, no. 4, pp. 493–509, 2009, doi: 10.1162/evco.2009.17.4.17403.
LibreCat | DOI
 
[6]
2009 | Journal Article | LibreCat-ID: 46417
H. Trautmann and J. Mehnen, “Preference-based Pareto optimization in certain and noisy environments,” Engineering Optimization, vol. 41, no. 1, pp. 23–38, 2009, doi: 10.1080/03052150802347926.
LibreCat | DOI
 
[5]
2008 | Conference Paper | LibreCat-ID: 46420
H. Trautmann, U. Ligges, J. Mehnen, and M. Preuss, “A Convergence Criterion for Multiobjective Evolutionary Algorithms Based on Systematic Statistical Testing,” in Parallel Problem Solving from Nature – PPSN X, 2008, pp. 825–836.
LibreCat
 
[4]
2008 | Conference Paper | LibreCat-ID: 46419
J. Mehnen and H. 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), 2008.
LibreCat
 
[3]
2007 | Conference Paper | LibreCat-ID: 46421
J. Mehnen, H. Trautmann, and A. Tiwari, “Introducing user preference using Desirability Functions in Multi-Objective Evolutionary Optimisation of noisy processes,” in 2007 IEEE Congress on Evolutionary Computation, 2007, pp. 2687–2694, doi: 10.1109/CEC.2007.4424810.
LibreCat | DOI
 
[2]
2006 | Journal Article | LibreCat-ID: 46423
H. Trautmann and C. Weihs, “On the Distribution of the Desirability Index using Harrington’s Desirability Function,” Metrika, vol. 63, no. 2, pp. 207–213, 2006, doi: 10.1007/s00184-005-0012-0.
LibreCat | DOI
 
[1]
2006 | Conference Paper | LibreCat-ID: 46422
J. Mehnen and H. 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, 2006, pp. 293–298.
LibreCat
 
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[130]
2024 | Book Chapter | LibreCat-ID: 52759
O. L. Preuß, J. Rook, and H. 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.
LibreCat | DOI
 
[129]
2024 | Conference Paper | LibreCat-ID: 52749
M. Vinzent Seiler, J. Rook, J. Heins, O. L. Preuß, J. Bossek, and H. Trautmann, “Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP,” 2024, doi: 10.1109/ssci52147.2023.10372008.
LibreCat | DOI
 
[128]
2023 | Conference Paper | LibreCat-ID: 47522
R. P. Prager et al., “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, 2023, pp. 129–139, doi: 10.1145/3594805.3607136.
LibreCat | DOI
 
[127]
2023 | Conference Paper | LibreCat-ID: 46297
R. P. Prager and H. Trautmann, “Nullifying the Inherent Bias of Non-invariant Exploratory Landscape Analysis Features,” in Applications of Evolutionary Computation, 2023, pp. 411–425.
LibreCat
 
[126]
2023 | Conference Paper | LibreCat-ID: 46298
L. Schäpermeier, P. Kerschke, C. Grimme, and H. Trautmann, “Peak-A-Boo! Generating Multi-objective Multiple Peaks Benchmark Problems with Precise Pareto Sets,” in Evolutionary Multi-Criterion Optimization, 2023, pp. 291–304.
LibreCat
 
[125]
2023 | Journal Article | LibreCat-ID: 46299
R. P. Prager and H. Trautmann, “Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python,” Evolutionary Computation, pp. 1–25, 2023, doi: 10.1162/evco_a_00341.
LibreCat | DOI
 
[124]
2023 | Journal Article | LibreCat-ID: 46310
J. Heins, J. Bossek, J. Pohl, M. Seiler, H. Trautmann, and P. Kerschke, “A study on the effects of normalized TSP features for automated algorithm selection,” Theoretical Computer Science, vol. 940, pp. 123–145, 2023, doi: https://doi.org/10.1016/j.tcs.2022.10.019.
LibreCat | DOI
 
[123]
2023 | Conference Paper | LibreCat-ID: 52530
R. P. Prager and H. 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, 2023, pp. 451–454, doi: 10.1145/3583133.3590757.
LibreCat | DOI
 
[122]
2023 | Conference Paper | LibreCat-ID: 48898
M. V. Seiler, J. Rook, J. Heins, O. L. Preuß, J. Bossek, and H. Trautmann, “Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP,” in 2023 IEEE Symposium Series on Computational Intelligence (SSCI), pp. 361–368, doi: 10.1109/SSCI52147.2023.10372008.
LibreCat | DOI
 
[121]
2022 | Book Chapter | LibreCat-ID: 46300
M. Niemann, D. Assenmacher, J. Brunk, D. M. Riehle, J. Becker, and H. Trautmann, “(Semi-)Automatische Kommentarmoderation zur Erhaltung Konstruktiver Diskurse,” in Hate Speech — Definitionen, Ausprägungen, Lösungen, G. Weitzel and S. Mündges, Eds. Wiesbaden: VS Verlag für Sozialwissenschaften, 2022, pp. 249–274.
LibreCat | DOI
 
[120]
2022 | Conference Paper | LibreCat-ID: 46301
D. Assenmacher and H. Trautmann, “Textual One-Pass Stream Clustering with Automated Distance Threshold Adaption,” in Intelligent Information and Database Systems, 2022, pp. 3–16, doi: 10.1007/978-3-031-21743-2_1.
LibreCat | DOI
 
[119]
2022 | Journal Article | LibreCat-ID: 46316
D. Assenmacher et al., “Benchmarking Crisis in Social Media Analytics: A Solution for the Data-Sharing Problem,” Social Science Computer Review, vol. 40, no. 6, pp. 1496–1522, 2022, doi: 10.1177/08944393211012268.
LibreCat | DOI
 
[118]
2022 | Conference Paper | LibreCat-ID: 46306
L. Schneider, L. Schäpermeier, R. P. Prager, B. Bischl, H. Trautmann, and P. Kerschke, “HPO x ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis,” in Parallel Problem Solving from Nature — PPSN XVII, 2022, pp. 575–589, doi: 10.1007/978-3-031-14714-2_40.
LibreCat | DOI
 
[117]
2022 | Conference Paper | LibreCat-ID: 46307
M. V. Seiler, R. P. Prager, P. Kerschke, and H. 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, 2022, pp. 657–665, doi: 10.1145/3512290.3528834.
LibreCat | DOI
 
[116]
2022 | Conference Paper | LibreCat-ID: 46304
R. P. Prager, M. V. Seiler, H. Trautmann, and P. 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, 2022, pp. 3–17, doi: 10.1007/978-3-031-14714-2_1.
LibreCat | DOI
 
[115]
2022 | Conference Paper | LibreCat-ID: 46303
J. S. Pohl, D. Assenmacher, M. V. Seiler, H. Trautmann, and C. 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), 2022, pp. 1–10, doi: 10.36190/2022.91.
LibreCat | DOI
 
[114]
2022 | Conference Paper | LibreCat-ID: 46305
J. Rook, H. 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, 2022, pp. 356–359–356–359, doi: 10.1145/3520304.3528998.
LibreCat | DOI
 
[113]
2022 | Journal Article | LibreCat-ID: 46309
L. Clever, J. S. Pohl, J. Bossek, P. Kerschke, and H. Trautmann, “Process-Oriented Stream Classification Pipeline: A Literature Review,” Applied Sciences, vol. 12, no. 8, pp. 1–44, 2022, doi: 10.3390/app12189094.
LibreCat | DOI
 
[112]
2022 | Journal Article | LibreCat-ID: 46308
P. Aspar, V. Steinhoff, L. Schäpermeier, P. Kerschke, H. Trautmann, and C. Grimme, “The objective that freed me: a multi-objective local search approach for continuous single-objective optimization,” Natural Computing, vol. 1, pp. 1–15, 2022, doi: 10.1007/s11047-022-09919-w.
LibreCat | DOI
 
[111]
2022 | Conference Paper | LibreCat-ID: 46302
J. Heins, J. Rook, L. Schäpermeier, P. Kerschke, J. Bossek, and H. Trautmann, “BBE: Basin-Based Evaluation of Multimodal Multi-objective Optimization Problems,” in Parallel Problem Solving from Nature — PPSN XVII, 2022, pp. 192–206.
LibreCat
 
[110]
2022 | Journal Article | LibreCat-ID: 52532
A. S. Rodrigues et al., “Estimation of component reliability from superposed renewal processes by means of latent variables,” Comput. Stat., vol. 37, no. 1, pp. 355–379, 2022, doi: 10.1007/S00180-021-01124-0.
LibreCat | DOI
 
[109]
2021 | Journal Article | LibreCat-ID: 46318
C. Grimme et al., “Peeking beyond peaks: Challenges and research potentials of continuous multimodal multi-objective optimization,” Computers & Operations Research, vol. 136, p. 105489, 2021, doi: https://doi.org/10.1016/j.cor.2021.105489.
LibreCat | DOI
 
[108]
2021 | Conference Paper | LibreCat-ID: 46313
J. Heins, J. Bossek, J. Pohl, M. Seiler, H. Trautmann, and P. 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), 2021, pp. 1–15, doi: 10.1145/3450218.3477308.
LibreCat | DOI
 
[107]
2021 | Conference Paper | LibreCat-ID: 46311
P. Aspar, P. Kerschke, V. Steinhoff, H. Trautmann, and C. 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, 2021, pp. 311–322, doi: 10.1007/978-3-030-72062-9_25.
LibreCat | DOI
 
[106]
2021 | Journal Article | LibreCat-ID: 46317
C. Coombs et al., “What Is It About Humanity That We Can’t Give Away To Intelligent Machines? A European Perspective,” International Journal of Information Management, vol. 58, 2021, doi: 10.1016/j.ijinfomgt.2021.102311.
LibreCat | DOI
 
[105]
2021 | Conference Paper | LibreCat-ID: 46315
R. P. Prager, M. Vinzent Seiler, H. Trautmann, and P. Kerschke, “Towards Feature-Free Automated Algorithm Selection for Single-Objective Continuous Black-Box Optimization,” in 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 2021, pp. 1–8, doi: 10.1109/SSCI50451.2021.9660174.
LibreCat | DOI
 
[104]
2021 | Conference Paper | LibreCat-ID: 46312
D. Assenmacher, M. Niemann, K. Müller, M. V. Seiler, D. M. Riehle, and H. 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), 2021, pp. 1–14.
LibreCat
 
[103]
2020 | Conference Paper | LibreCat-ID: 46319
D. Assenmacher, L. Adam, H. Trautmann, and C. Grimme, “Towards Real-Time and Unsupervised Campaign Detection in Social Media,” 2020.
LibreCat
 
[102]
2020 | Conference Paper | LibreCat-ID: 46328
R. P. Prager, H. Trautmann, H. Wang, T. H. W. Bäck, and P. 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), 2020, pp. 996–1003, doi: 10.1109/SSCI47803.2020.9308510.
LibreCat | DOI
 
[101]
2020 | Conference Paper | LibreCat-ID: 46320
D. Assenmacher, L. Clever, J. Pohl, H. 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, 2020, pp. 201–214, doi: 10.1007/978-3-030-49570-1_14.
LibreCat | DOI
 
[100]
2020 | Conference Paper | LibreCat-ID: 46325
M. Carnein, H. Trautmann, A. Bifet, and B. 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), 2020, pp. 137–143, doi: 10.1007/978-3-030-43823-4_12.
LibreCat | DOI
 
[99]
2020 | Conference Paper | LibreCat-ID: 46321
D. Assenmacher, L. Frischlich , H. Trautmann, C. Grimme, and L. Adam, “Inside the tool set of automation: Free social bot code revisited,” in Disinformation in open online media, 2020, pp. 101–114.
LibreCat
 
[98]
2020 | Conference Paper | LibreCat-ID: 46326
M. Carnein, H. Trautmann, A. Bifet, and B. Pfahringer, “confStream: Automated Algorithm Selection and Configuration of Stream Clustering Algorithms,” in Proceedings of the 14$^th$ Learning and Intelligent Optimization Conference (LION 2020), 2020, pp. 80–95, doi: 10.1007/978-3-030-53552-0_10.
LibreCat | DOI
 
[97]
2020 | Conference Paper | LibreCat-ID: 46324
J. Bossek, P. Kerschke, and H. Trautmann, “Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection,” in Proceedings of the IEEE Congress on Evolutionary Computation (CEC), 2020, pp. 1–8.
LibreCat
 
[96]
2020 | Conference Paper | LibreCat-ID: 46322
J. Bossek, C. Grimme, G. Rudolph, and H. Trautmann, “Towards Decision Support in Dynamic Bi-Objective Vehicle Routing,” in Proceedings of the IEEE Congress on Evolutionary Computation (CEC), 2020, pp. 1–8, doi: 10.1109/CEC48606.2020.9185778.
LibreCat | DOI
 
[95]
2020 | Conference Paper | LibreCat-ID: 46323
J. Bossek, C. Grimme, and H. Trautmann, “Dynamic Bi-Objective Routing of Multiple Vehicles,” in Proceedings of the Genetic and Evolutionary Computation Conference (GECCO ’20), 2020, pp. 166–174.
LibreCat
 
[94]
2020 | Conference Paper | LibreCat-ID: 46327
C. Lena, L. Frischlich, H. Trautmann, and C. Grimme, “Automated detection of nostalgic text in the context of societal pessimism,” in Disinformation in open online media, 2020, pp. 48–58.
LibreCat
 
[93]
2020 | Conference Paper | LibreCat-ID: 46330
M. V. Seiler, J. Pohl, J. Bossek, P. Kerschke, and H. 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), 2020, pp. 48–64, doi: 10.1007/978-3-030-58112-1_4.
LibreCat | DOI
 
[92]
2020 | Conference Paper | LibreCat-ID: 46329
D. M. Riehle, M. Niemann, J. Brunk, D. Assenmacher, H. Trautmann, and J. 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, 2020, pp. 71–86.
LibreCat
 
[91]
2020 | Journal Article | LibreCat-ID: 46333
D. Assenmacher, L. Clever, L. Frischlich, T. Quandt, H. Trautmann, and C. Grimme, “Demystifying Social Bots: On the Intelligence of Automated Social Media Actors,” Social Media + Society, vol. 6, no. 3, p. 2056305120939264, 2020, doi: 10.1177/2056305120939264.
LibreCat | DOI
 
[90]
2020 | Journal Article | LibreCat-ID: 46334
J. Bossek, P. Kerschke, and H. Trautmann, “A multi-objective perspective on performance assessment and automated selection of single-objective optimization algorithms,” Applied Soft Computing, vol. 88, p. 105901, 2020, doi: https://doi.org/10.1016/j.asoc.2019.105901.
LibreCat | DOI
 
[89]
2020 | Conference Paper | LibreCat-ID: 46331
M. V. Seiler, H. Trautmann, and P. Kerschke, “Enhancing Resilience of Deep Learning Networks By Means of Transferable Adversaries,” in Proceedings of the International Joint Conference on Neural Networks (IJCNN), 2020, pp. 1–8, doi: 10.1109/IJCNN48605.2020.9207338.
LibreCat | DOI
 
[88]
2020 | Conference Paper | LibreCat-ID: 46332
V. Steinhoff, P. Kerschke, P. Aspar, H. Trautmann, and C. 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), 2020, pp. 2445–2452, doi: 10.1109/SSCI47803.2020.9308259.
LibreCat | DOI
 
[87]
2019 | Conference Paper | LibreCat-ID: 46338
J. Bossek, C. Grimme, S. Meisel, G. Rudolph, and H. Trautmann, “Bi-Objective Orienteering: Towards a Dynamic Multi-Objective Evolutionary Algorithm,” in Evolutionary Multi-Criterion Optimization (EMO), 2019, vol. 11411, pp. 516–528, doi: 10.1007/978-3-030-12598-1_41.
LibreCat | DOI
 
[86]
2019 | Conference Paper | LibreCat-ID: 46343
C. Grimme, P. Kerschke, and H. Trautmann, “Multimodality in Multi-Objective Optimization — More Boon than Bane?,” in Proceedings of the 10$^th$ International Conference on Evolutionary Multi-Criterion Optimization (EMO), 2019, vol. 11411, pp. 126–138, doi: 10.1007/978-3-030-12598-1_11.
LibreCat | DOI
 
[85]
2019 | Journal Article | LibreCat-ID: 46345
P. Kerschke, H. H. Hoos, F. Neumann, and H. Trautmann, “Automated Algorithm Selection: Survey and Perspectives,” Evolutionary Computation (ECJ), vol. 27, no. 1, pp. 3–45, 2019, doi: 10.1162/evco_a_00242.
LibreCat | DOI
 
[84]
2019 | Conference Paper | LibreCat-ID: 46339
J. Bossek, P. Kerschke, A. Neumann, M. Wagner, F. Neumann, and H. 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), 2019, pp. 58–71, doi: 10.1145/3299904.3340307.
LibreCat | DOI
 
[83]
2019 | Conference Paper | LibreCat-ID: 46337
J. Bossek and H. Trautmann, “Multi-Objective Performance Measurement: Alternatives to PAR10 and Expected Running Time,” in Learning and Intelligent Optimization, 2019, vol. 11353, pp. 215–219.
LibreCat
 
[82]
2019 | Journal Article | LibreCat-ID: 46344
M. Carnein and H. Trautmann, “Optimizing Data Stream Representation: An Extensive Survey on Stream Clustering Algorithms,” Business and Information Systems Engineering (BISE), vol. 61, no. 3, pp. 277–297, 2019.
LibreCat
 
[81]
2019 | Conference Paper | LibreCat-ID: 46340
M. Carnein, L. Homann, H. Trautmann, and G. Vossen, “A Recommender System Based on Omni-Channel Customer Data,” in Proceedings of the 21$^st$ IEEE Conference on Business Informatics (CBI’ 19), 2019, pp. 65–74.
LibreCat
 
[80]
2019 | Conference Paper | LibreCat-ID: 46341
M. Carnein and H. 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), 2019, pp. 280–292.
LibreCat
 
[79]
2019 | Conference Paper | LibreCat-ID: 46342
C. Grimme, P. Kerschke, M. T. M. Emmerich, M. Preuss, A. H. Deutz, and H. Trautmann, “Sliding to the Global Optimum: How to Benefit from Non-Global Optima in Multimodal Multi-Objective Optimization,” in AIP Conference Proceedings, 2019, pp. 020052-1-020052–4, doi: 10.1063/1.5090019.
LibreCat | DOI
 
[78]
2019 | Book Chapter | LibreCat-ID: 46336
P. Kerschke and H. Trautmann, “Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-package flacco,” in Applications in Statistical Computing, N. Bauer, K. Ickstadt, K. Lübke, G. Szepannek, H. Trautmann, and M. Vichi, Eds. Springer, 2019, pp. 93–123.
LibreCat | DOI
 
[77]
2019 | Book | LibreCat-ID: 46335
H. Trautmann, Applications in Statistical Computing — From Music Data Analysis to Industrial Quality Improvement. Springer International Publishing, 2019.
LibreCat
 
[76]
2019 | Journal Article | LibreCat-ID: 46346
P. Kerschke and H. Trautmann, “Automated Algorithm Selection on Continuous Black-Box Problems By Combining Exploratory Landscape Analysis and Machine Learning,” Evolutionary Computation (ECJ), vol. 27, no. 1, pp. 99–127, 2019, doi: 10.1162/evco_a_00236.
LibreCat | DOI
 
[75]
2019 | Journal Article | LibreCat-ID: 46347
P. Kerschke et al., “Search Dynamics on Multimodal Multi-Objective Problems,” Evolutionary Computation (ECJ), vol. 27, no. 4, pp. 577–609, 2019, doi: 10.1162/evco_a_00234.
LibreCat | DOI
 
[74]
2018 | Conference Paper | LibreCat-ID: 46350
J. E. van Engelen, J. J. van Lier, F. W. Takes, and H. 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), 2018, pp. 524–540.
LibreCat
 
[73]
2018 | Conference Paper | LibreCat-ID: 46348
J. Bossek, C. Grimme, S. Meisel, G. Rudolph, and H. Trautmann, “Local Search Effects in Bi-Objective Orienteering,” in Proceedings of the Genetic and Evolutionary Computation Conference, 2018, pp. 585–592, doi: 10.1145/3205455.3205548.
LibreCat | DOI
 
[72]
2018 | Journal Article | LibreCat-ID: 46351
M. Carnein and H. Trautmann, “evoStream — Evolutionary Stream Clustering Utilizing Idle Times,” Big Data Research, vol. 14, pp. 101–111, 2018, doi: 10.1016/j.bdr.2018.05.005.
LibreCat | DOI
 
[71]
2018 | Journal Article | LibreCat-ID: 46353
L. Li, Y. Wang, H. Trautmann, N. Jing, and M. Emmerich, “Multiobjective evolutionary algorithms based on target region preferences,” Swarm and Evolutionary Computation, vol. 40, pp. 196–215, 2018, doi: 10.1016/j.swevo.2018.02.006.
LibreCat | DOI
 
[70]
2018 | Journal Article | LibreCat-ID: 46352
P. Kerschke, L. Kotthoff, J. Bossek, H. H. Hoos, and H. Trautmann, “Leveraging TSP Solver Complementarity through Machine Learning,” Evolutionary Computation (ECJ), vol. 26, no. 4, pp. 597–620, 2018, doi: 10.1162/evco_a_00215.
LibreCat | DOI
 
[69]
2018 | Conference Paper | LibreCat-ID: 46349
P. Kerschke, J. Bossek, and H. 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, 2018, pp. 1737–1744, doi: 10.1145/3205651.3208233.
LibreCat | DOI
 
[68]
2017 | Book Chapter | LibreCat-ID: 46355
S. H. V. Adrián, A. Lara, H. Trautmann, G. Rudolph, and O. Schütze, “The Directed Search Method for Unconstrained Parameter Dependent Multi-objective Optimization Problems,” in NEO 15, O. Schütze, L. Trujillo, P. Legrand, and Y. Maldonado, Eds. Cham: Springer International Publishing, 2017, pp. 281–330.
LibreCat | DOI
 
[67]
2017 | Conference Paper | LibreCat-ID: 46360
M. Carnein et al., “Towards Efficient and Informative Omni-Channel Customer Relationship Management,” in Proceedings of the 36$^th$ International Conference on Conceptual Modeling (ER’17), 2017, vol. 10651, pp. 69–78, doi: 10.1007/978-3-319-70625-2_7.
LibreCat | DOI
 
[66]
2017 | Conference Paper | LibreCat-ID: 46361
M. Carnein, L. Homann, H. Trautmann, G. Vossen, and K. 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), 2017, vol. P-266, pp. 33–40.
LibreCat
 
[65]
2017 | Book Chapter | LibreCat-ID: 46356
L. Li, I. Yevseyeva, V. Basto-Fernandes, H. 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, H. Trautmann, G. Rudolph, K. Klamroth, O. Schütze, M. Wiecek, Y. Jin, and C. Grimme, Eds. Cham: Springer International Publishing, 2017, pp. 406–421.
LibreCat | DOI
 
[64]
2017 | Book Chapter | LibreCat-ID: 46357
K. Tierney, J. Handali, C. Grimme, and H. 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, H. Trautmann, G. Rudolph, K. Klamroth, O. Schütze, M. Wiecek, Y. Jin, and C. Grimme, Eds. Cham: Springer International Publishing, 2017, pp. 622–638.
LibreCat | DOI
 
[63]
2017 | Conference Paper | LibreCat-ID: 46359
M. Carnein, D. Assenmacher, and H. Trautmann, “Stream Clustering of Chat Messages with Applications to Twitch Streams,” in Proceedings of the 36$^th$ International Conference on Conceptual Modeling (ER’17), 2017, pp. 79–88, doi: 10.1007/978-3-319-70625-2_8.
LibreCat | DOI
 
[62]
2017 | Journal Article | LibreCat-ID: 46362
C. Grimme, M. Preuss, L. Adam, and H. Trautmann, “Social Bots: Human-Like by Means of Human Control?,” Big Data, vol. 5, no. 4, pp. 279–293, 2017, doi: 10.1089/big.2017.0044.
LibreCat | DOI
 
[61]
2017 | Conference Paper | LibreCat-ID: 46358
M. Carnein, D. Assenmacher, and H. Trautmann, “An Empirical Comparison of Stream Clustering Algorithms,” in Proceedings of the ACM International Conference on Computing Frontiers (CF ’17), 2017, pp. 361–365, doi: 10.1145/3075564.3078887.
LibreCat | DOI
 
[60]
2016 | Conference Paper | LibreCat-ID: 46364
A. Blot, H. Hoos, L. Jourdan, M. Marmion, and H. Trautmann, “MO-ParamILS: A Multi-objective Automatic Algorithm Configuration Framework,” in LION 2016: Learning and Intelligent Optimization, 2016, vol. 10079, pp. 32–47, doi: 10.1007/978-3-319-50349-3_3.
LibreCat | DOI
 
[59]
2016 | Book Chapter | LibreCat-ID: 46363
G. Rudolph, O. Schütze, and H. 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, G. Squillero and P. Burelli, Eds. Cham: Springer International Publishing, 2016, pp. 42–55.
LibreCat | DOI
 
[58]
2016 | Conference Paper | LibreCat-ID: 46365
J. Bossek and H. Trautmann, “Evolving Instances for Maximizing Performance Differences of State-of-The-Art Inexact TSP Solvers,” in Learning and Intelligent Optimization, 2016, vol. 10079, pp. 48–59, doi: 10.1007/978-3-319-50349-3_4.
LibreCat | DOI
 
[57]
2016 | Conference Paper | LibreCat-ID: 46366
J. Bossek and H. 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, 2016, vol. 10037, pp. 3–12, doi: 10.1007/978-3-319-49130-1_1.
LibreCat | DOI
 
[56]
2016 | Conference Paper | LibreCat-ID: 46369
P. Kerschke et al., “Towards Analyzing Multimodality of Multiobjective Landscapes,” in Proceedings of the 14$^th$ International Conference on Parallel Problem Solving from Nature (PPSN XIV), 2016, pp. 962–972, doi: 10.1007/978-3-319-45823-6_90.
LibreCat | DOI
 
[55]
2016 | Conference Paper | LibreCat-ID: 46367
P. Kerschke, M. Preuss, S. Wessing, and H. Trautmann, “Low-Budget Exploratory Landscape Analysis on Multiple Peaks Models,” in Proceedings of the 18$^th$ Annual Conference on Genetic and Evolutionary Computation, 2016, pp. 229–236, doi: 10.1145/2908812.2908845.
LibreCat | DOI
 
[54]
2016 | Journal Article | LibreCat-ID: 46371
G. Rudolph, O. Schütze, C. Grimme, C. Domínguez-Medina, and H. Trautmann, “Optimal averaged Hausdorff archives for bi-objective problems: theoretical and numerical results,” Computational Optimization and Applications (Comput. Optim. Appl.), vol. 64, no. 2, pp. 589–618, 2016, doi: 10.1007/s10589-015-9815-8.
LibreCat | DOI
 
[53]
2016 | Journal Article | LibreCat-ID: 46372
O. Schütze, H. V. Sosa, H. Trautmann, and G. Rudolph, “The Hypervolume based Directed Search Method for Multi-Objective Optimization Problems,” Journal of Heuristics, vol. 22, no. 3, pp. 273–300, 2016, doi: 10.1007/s10732-016-9310-0.
LibreCat | DOI
 
[52]
2016 | Conference Paper | LibreCat-ID: 46368
P. Kerschke and H. Trautmann, “The R-Package FLACCO for Exploratory Landscape Analysis with Applications to Multi-Objective Optimization Problems,” 2016, doi: 10.1109/CEC.2016.7748359.
LibreCat | DOI
 
[51]
2016 | Journal Article | LibreCat-ID: 46370
F. Neumann and H. 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, vol. 5, no. 5, pp. 78–79, 2016, doi: 10.4230/DagRep.5.5.57.
LibreCat | DOI
 
[50]
2015 | Conference Paper | LibreCat-ID: 46373
A. Chinnov, P. Kerschke, C. Meske, S. Stieglitz, and H. 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), 2015, pp. 1–10.
LibreCat
 
[49]
2015 | Conference Paper | LibreCat-ID: 46375
P. Kerschke, M. Preuss, S. Wessing, and H. Trautmann, “Detecting Funnel Structures by Means of Exploratory Landscape Analysis,” in Proceedings of the Genetic and Evolutionary Computation Conference (GECCO ’15), 2015, pp. 265–272, doi: 10.1145/2739480.2754642.
LibreCat | DOI
 
[48]
2015 | Conference Paper | LibreCat-ID: 46377
S. Meisel, C. Grimme, J. Bossek, M. Wölck, G. Rudolph, and H. 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), 2015, pp. 425–432, doi: 10.1145/2739480.2754705.
LibreCat | DOI
 
[47]
2015 | Conference Paper | LibreCat-ID: 46376
L. Kotthoff, P. Kerschke, H. Hoos, and H. Trautmann, “Improving the State of the Art in Inexact TSP Solving Using Per-Instance Algorithm Selection,” in Learning and Intelligent Optimization, 2015, pp. 202–217.
LibreCat
 
[46]
2015 | Journal Article | LibreCat-ID: 46379
D. Brockhoff, T. Wagner, and H. Trautmann, “R2 Indicator Based Multiobjective Search,” Evolutionary Computation Journal, vol. 23, no. 3, pp. 369–395, 2015, doi: 10.1162/EVCO_a_00135.
LibreCat | DOI
 
[45]
2015 | Conference Paper | LibreCat-ID: 46374
C. Grimme, S. Meisel, H. Trautmann, G. Rudolph, and M. Wölck, “Multi-Objective Analysis of Approaches to Dynamic Routing Of a Vehicle,” 2015.
LibreCat
 
[44]
2015 | Journal Article | LibreCat-ID: 46380
O. Mersmann, M. Preuss, H. Trautmann, B. Bischl, and C. Weihs, “Analyzing the BBOB Results by Means of Benchmarking Concepts,” Evolutionary Computation Journal, vol. 23, no. 1, pp. 161–185, 2015.
LibreCat
 
[43]
2014 | Book Chapter | LibreCat-ID: 46381
P. Kerschke et al., “Cell Mapping Techniques for Exploratory Landscape Analysis,” in EVOLVE — A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V, vol. 288, A.-A. Tantar, E. Tantar, J.-Q. Sun, W. Zhang, Q. Ding, O. Schütze, M. T. M. Emmerich, P. Legrand, M. P. Del, and C. C. A. Coello, Eds. Cham: Springer International Publishing, 2014, pp. 115–131.
LibreCat | DOI
 
[42]
2014 | Book Chapter | LibreCat-ID: 46382
G. Rudolph, O. Schütze, C. Grimme, and H. 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, vol. 288, A. Tantar, E. Tantar, J. Sun, W. Zhang, Q. Ding, O. Schütze, M. Emmerich, P. Legrand, M. P. Del, and C. C. Coello, Eds. Springer International Publishing, 2014, pp. 261–273.
LibreCat | DOI
 
[41]
2014 | Conference Paper | LibreCat-ID: 46383
G. Rudolph, C. Grimme, O. Schütze, and H. Trautmann, “An Aspiration Set EMOA Based on Averaged Hausdorff Distances,” in Proceedings of the Learning and Intelligent OptimizatioN Conference (LION 8), 2014, vol. 8426, pp. 153–156.
LibreCat
 
[40]
2014 | Conference Paper | LibreCat-ID: 46384
S. Wessing, M. Preuss, and H. Trautmann, “Stopping Criteria for Multimodal Optimization,” in Proceedings of the Parallel Problem Solving from Nature — PPSN XIII, 2014, vol. 8672, pp. 141–150, doi: 10.1007/978-3-319-10762-2_14.
LibreCat | DOI
 
[39]
2013 | Book Chapter | LibreCat-ID: 46385
H. V. Sosa, O. Schütze, G. Rudolph, and H. 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, vol. 227, M. Emmerich, A. Deutz, O. Schuetze, T. Bäck, A. Tantar, P. Moral, P. Legrand, P. Bouvry, and C. Coello, Eds. Springer International Publishing, 2013, pp. 189–205.
LibreCat | DOI
 
[38]
2013 | Book Chapter | LibreCat-ID: 46386
H. Trautmann, 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, vol. 175, O. Schütze, C. C. Coello, A. Tantar, E. Tantar, P. Bouvry, M. P. Del, and P. Legrand, Eds. Springer Berlin Heidelberg, 2013, pp. 89–105.
LibreCat | DOI
 
[37]
2013 | Conference Paper | LibreCat-ID: 46388
S. Nallaperuma, M. Wagner, F. Neumann, B. Bischl, O. Mersmann, and H. 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, 2013, pp. 147–160, doi: 10.1145/2460239.2460253.
LibreCat | DOI
 
[36]
2013 | Conference Paper | LibreCat-ID: 46390
G. Rudolph, H. 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, 2013, vol. 7811, pp. 443–458, doi: https://doi.org/10.1007/978-3-642-37140-0_34.
LibreCat | DOI
 
[35]
2013 | Conference Paper | LibreCat-ID: 46391
V. Sosa-Hernandez, O. Schütze, G. Rudoph, and H. 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, 2013, pp. 1699–1702, doi: 10.1145/2464576.2482756.
LibreCat | DOI
 
[34]
2013 | Conference Paper | LibreCat-ID: 46387
C. Dominguez-Medina, G. Rudolph, O. Schütze, and H. Trautmann, “Evenly spaced Pareto fronts of quad-objective problems using PSA partitioning technique,” in Proceedings of the 2013 IEEE Congress on Evolutionary Computation (CEC), 2013, pp. 3190–3197, doi: https://doi.org/10.1109/CEC.2013.6557960.
LibreCat | DOI
 
[33]
2013 | Conference Paper | LibreCat-ID: 46389
M. Preuss, D. Kozakowski, J. Hagelbäck, and H. Trautmann, “Reactive strategy choice in StarCraft by means of Fuzzy Control,” in 2013 IEEE Conference on Computational Inteligence in Games (CIG), 2013, pp. 1–8, doi: 10.1109/CIG.2013.6633627.
LibreCat | DOI
 
[32]
2013 | Journal Article | LibreCat-ID: 46395
H. Trautmann, 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, vol. 20, no. 5–6, pp. 319–337, 2013, doi: https://doi.org/10.1002/mcda.1503.
LibreCat | DOI
 
[31]
2013 | Conference Paper | LibreCat-ID: 46393
T. Wagner, H. Trautmann, and D. Brockhoff, “Preference Articulation by Means of the R2 Indicator,” in Evolutionary Multi-Criterion Optimization, 2013, pp. 81–95.
LibreCat
 
[30]
2013 | Conference Paper | LibreCat-ID: 46392
H. Trautmann, T. Wagner, and D. Brockhoff, “R2-EMOA: Focused Multiobjective Search Using R2-Indicator-Based Selection,” in Learning and Intelligent Optimization, 2013, pp. 70–74.
LibreCat
 
[29]
2013 | Journal Article | LibreCat-ID: 46394
O. Mersmann, B. Bischl, H. 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, vol. 69, pp. 151–182, 2013.
LibreCat
 
[28]
2012 | Conference Paper | LibreCat-ID: 46397
D. Brockhoff, T. Wagner, and H. Trautmann, “On the Properties of the R2 Indicator,” in Proceedings of the 14th Annual Conference on Genetic and Evolutionary Computation, 2012, pp. 465–472, doi: 10.1145/2330163.2330230.
LibreCat | DOI
 
[27]
2012 | Conference Paper | LibreCat-ID: 46396
B. Bischl, O. Mersmann, H. Trautmann, and M. Preuß, “Algorithm Selection Based on Exploratory Landscape Analysis and Cost-Sensitive Learning,” in Proceedings of the 14th Annual Conference on Genetic and Evolutionary Computation, 2012, pp. 313–320, doi: 10.1145/2330163.2330209.
LibreCat | DOI
 
[26]
2012 | Conference Paper | LibreCat-ID: 46398
O. Mersmann, B. Bischl, J. Bossek, H. Trautmann, M. Wagner, and F. Neumann, “Local Search and the Traveling Salesman Problem: A Feature-Based Characterization of Problem Hardness,” in Learning and Intelligent Optimization, 2012, pp. 115–129, doi: https://doi.org/10.1007/978-3-642-34413-8_9.
LibreCat | DOI
 
[25]
2012 | Journal Article | LibreCat-ID: 46399
B. Bischl, O. Mersmann, H. Trautmann, and C. Weihs, “Resampling Methods in Model Validation,” Evolutionary Computation Journal, vol. 20, no. 2, pp. 249–275, 2012, doi: 10.1162/EVCO_a_00069.
LibreCat | DOI
 
[24]
2012 | Journal Article | LibreCat-ID: 46400
G. Rudolph, H. Trautmann, and O. Schütze, “Homogene Approximation der Paretofront bei mehrkriteriellen Kontrollproblemen,” at-Automatisierungstechnik, vol. 60, pp. 610–621, 2012, doi: 10.1524/auto.2012.1033.
LibreCat | DOI
 
[23]
2011 | Conference Paper | LibreCat-ID: 46401
O. Mersmann, B. Bischl, H. Trautmann, M. Preuss, C. Weihs, and G. Rudolph, “Exploratory Landscape Analysis,” in Proceedings of the 13th Annual Conference on Genetic and Evolutionary Computation, 2011, pp. 829–836, doi: 10.1145/2001576.2001690.
LibreCat | DOI
 
[22]
2011 | Conference Paper | LibreCat-ID: 46402
T. Wagner, H. Trautmann, and L. Martí, “A Taxonomy of Online Stopping Criteria for Multi-Objective Evolutionary Algorithms,” in Evolutionary Multi-Criterion Optimization, 2011, pp. 16–30, doi: https://doi.org/10.1007/978-3-642-19893-9_2.
LibreCat | DOI
 
[21]
2011 | Journal Article | LibreCat-ID: 46403
B. Naujoks, H. 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, vol. 225, no. 10, pp. 1081–1096, 2011, doi: 10.1177/0954410011414120.
LibreCat | DOI
 
[20]
2010 | Conference Paper | LibreCat-ID: 46408
S. Mostaghim, H. Trautmann, and O. Mersmann, “Preference-Based Multi-Objective Particle Swarm Optimization Using Desirabilities,” in Parallel Problem Solving from Nature, PPSN XI, 2010, pp. 101–110, doi: https://doi.org/10.1007/978-3-642-15871-1_11.
LibreCat | DOI
 
[19]
2010 | Conference Paper | LibreCat-ID: 46405
O. Mersmann, M. Preuss, and H. Trautmann, “Benchmarking Evolutionary Algorithms: Towards Exploratory Landscape Analysis,” in Proceedings of the 11th International Conference on Parallel Problem Solving from Nature: Part I, 2010, pp. 73–82.
LibreCat
 
[18]
2010 | Conference Paper | LibreCat-ID: 46406
O. Mersmann, H. 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, 2010, vol. 6073, pp. 333–337.
LibreCat
 
[17]
2010 | Conference Paper | LibreCat-ID: 46407
O. Mersmann, H. Trautmann, B. Naujoks, and C. Weihs, “Benchmarking evolutionary multiobjective optimization algorithms,” in IEEE Congress on Evolutionary Computation, 2010, pp. 1–8, doi: 10.1109/CEC.2010.5586241.
LibreCat | DOI
 
[16]
2010 | Conference Paper | LibreCat-ID: 46404
J. Ding, S. Wessing, H. 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), 2010.
LibreCat
 
[15]
2010 | Conference Paper | LibreCat-ID: 46409
T. Voß, H. Trautmann, and C. Igel, “New Uncertainty Handling Strategies in Multi-objective Evolutionary Optimization,” in Parallel Problem Solving from Nature, PPSN XI, 2010, pp. 260–269, doi: https://doi.org/10.1007/978-3-642-15871-1_27.
LibreCat | DOI
 
[14]
2010 | Journal Article | LibreCat-ID: 46412
T. Wagner and H. Trautmann, “Integration of Preferences in Hypervolume-Based Multiobjective Evolutionary Algorithms by Means of Desirability Functions,” IEEE Transactions on Evolutionary Computation, vol. 14, no. 5, pp. 688–701, 2010, doi: 10.1109/TEVC.2010.2058119.
LibreCat | DOI
 
[13]
2010 | Journal Article | LibreCat-ID: 46411
Y. T. Azene, R. Roy, D. Farrugia, C. Onisa, J. Mehnen, and H. Trautmann, “Work roll cooling system design optimisation in presence of uncertainty and constrains,” CIRP Journal of Manufacturing Science and Technology, vol. 2, no. 4, pp. 290–298, 2010, doi: https://doi.org/10.1016/j.cirpj.2010.06.001.
LibreCat | DOI
 
[12]
2010 | Conference Paper | LibreCat-ID: 46410
T. Wagner and H. Trautmann, “Online convergence detection for evolutionary multi-objective algorithms revisited,” in IEEE Congress on Evolutionary Computation, 2010, pp. 1–8, doi: 10.1109/CEC.2010.5586474.
LibreCat | DOI
 
[11]
2009 | Conference Paper | LibreCat-ID: 46414
T. Wagner, H. Trautmann, and B. Naujoks, “OCD: Online Convergence Detection for Evolutionary Multi-Objective Algorithms Based on Statistical Testing,” in Evolutionary Multi-Criterion Optimization, 2009, pp. 198–215, doi: https://doi.org/10.1007/978-3-642-01020-0_19.
LibreCat | DOI
 
[10]
2009 | Conference Paper | LibreCat-ID: 46415
H. Trautmann, J. Mehnen, and B. Naujoks, “Pareto-dominance in noisy environments,” in 2009 IEEE Congress on Evolutionary Computation, 2009, pp. 3119–3126, doi: 10.1109/CEC.2009.4983338.
LibreCat | DOI
 
[9]
2009 | Conference Paper | LibreCat-ID: 46413
B. Naujoks and H. Trautmann, “Online convergence detection for multiobjective aerodynamic applications,” in 2009 IEEE Congress on Evolutionary Computation, 2009, pp. 332–339, doi: 10.1109/CEC.2009.4982966.
LibreCat | DOI
 
[8]
2009 | Journal Article | LibreCat-ID: 46416
H. Trautmann and J. Mehnen, “Statistical Methods for Improving Multi-objective Evolutionary Optimisation,” International Journal of Computational Intelligence Research, vol. 5, no. 2, pp. 72–78, 2009.
LibreCat
 
[7]
2009 | Journal Article | LibreCat-ID: 46418
H. Trautmann, T. Wagner, B. Naujoks, M. Preuss, and J. Mehnen, “Statistical Methods for Convergence Detection of Multi-Objective Evolutionary Algorithms,” Evolutionary Computation, vol. 17, no. 4, pp. 493–509, 2009, doi: 10.1162/evco.2009.17.4.17403.
LibreCat | DOI
 
[6]
2009 | Journal Article | LibreCat-ID: 46417
H. Trautmann and J. Mehnen, “Preference-based Pareto optimization in certain and noisy environments,” Engineering Optimization, vol. 41, no. 1, pp. 23–38, 2009, doi: 10.1080/03052150802347926.
LibreCat | DOI
 
[5]
2008 | Conference Paper | LibreCat-ID: 46420
H. Trautmann, U. Ligges, J. Mehnen, and M. Preuss, “A Convergence Criterion for Multiobjective Evolutionary Algorithms Based on Systematic Statistical Testing,” in Parallel Problem Solving from Nature – PPSN X, 2008, pp. 825–836.
LibreCat
 
[4]
2008 | Conference Paper | LibreCat-ID: 46419
J. Mehnen and H. 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), 2008.
LibreCat
 
[3]
2007 | Conference Paper | LibreCat-ID: 46421
J. Mehnen, H. Trautmann, and A. Tiwari, “Introducing user preference using Desirability Functions in Multi-Objective Evolutionary Optimisation of noisy processes,” in 2007 IEEE Congress on Evolutionary Computation, 2007, pp. 2687–2694, doi: 10.1109/CEC.2007.4424810.
LibreCat | DOI
 
[2]
2006 | Journal Article | LibreCat-ID: 46423
H. Trautmann and C. Weihs, “On the Distribution of the Desirability Index using Harrington’s Desirability Function,” Metrika, vol. 63, no. 2, pp. 207–213, 2006, doi: 10.1007/s00184-005-0012-0.
LibreCat | DOI
 
[1]
2006 | Conference Paper | LibreCat-ID: 46422
J. Mehnen and H. 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, 2006, pp. 293–298.
LibreCat
 
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