135 Publications

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[135]
2024 | Journal Article | LibreCat-ID: 54548
Exploratory Landscape Analysis for Mixed-Variable Problems
R.P. Prager, H. Trautmann, IEEE Transactions on Evolutionary Computation (2024) 1–1.
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[134]
2024 | Conference Paper | LibreCat-ID: 54642
Hybridizing Target- and SHAP-encoded Features for Algorithm Selection in Mixed-variable Black-box Optimization
K. Dietrich, R. Prager, C. Doerr, H. Trautmann, in: M. Affenzeller, S. Winkler, A. Kononova, H. Trautmann, T. Tušar, P. Machado, T. Baeck (Eds.), Parallel Problem Solving from Nature — PPSN XVIII, Springer International Publishing, Cham, 2024, pp. 1–14.
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[133]
2024 | Conference Paper | LibreCat-ID: 54643
Learned Features vs. Classical ELA on Affine BBOB Functions
M. Seiler, U. Skvorc, G. Cenikj, C. Doerr, H. Trautmann, in: M. Affenzeller, S. Winkler, A. Kononova, H. Trautmann, T. Tušar, P. Machado, T. Baeck (Eds.), Parallel Problem Solving from Nature — PPSN XVIII, Springer International Publishing, Cham, 2024, pp. 1–14.
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[132]
2024 | Book Chapter | LibreCat-ID: 52759
On the Potential of Multi-objective Automated Algorithm Configuration on Multi-modal Multi-objective Optimisation Problems
O.L. Preuß, J. Rook, H. Trautmann, in: Applications of Evolutionary Computation, Springer Nature Switzerland, Cham, 2024.
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[131]
2024 | Conference Paper | LibreCat-ID: 52749
Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP
M. Seiler, J. Rook, J. Heins, O.L. Preuß, J. Bossek, H. Trautmann, in: 2023 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, 2024.
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[130]
2024 | Conference Paper | LibreCat-ID: 55649
Multi-objective Ranking using Bootstrap Resampling
J. Rook, H.H. Hoos, H. Trautmann, in: X. Li, J. Handl (Eds.), Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO 2024, Melbourne, VIC, Australia, July 14-18, 2024, ACM, 2024, pp. 155–158.
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[129]
2024 | Journal Article | LibreCat-ID: 56221
Finding ϵ-Locally Optimal Solutions for Multi-Objective Multimodal Optimization
A.E. Rodriguez-Fernandez, L. Schäpermeier, C. Hernández, P. Kerschke, H. Trautmann, O. Schütze, IEEE Transactions on Evolutionary Computation (2024) 1–1.
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[128]
2023 | Conference Paper | LibreCat-ID: 47522
Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features
R.P. Prager, K. Dietrich, L. Schneider, L. Schäpermeier, B. Bischl, P. Kerschke, H. Trautmann, O. Mersmann, in: Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, Association for Computing Machinery, New York, NY, USA, 2023, pp. 129–139.
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[127]
2023 | Conference Paper | LibreCat-ID: 46297
Nullifying the Inherent Bias of Non-invariant Exploratory Landscape Analysis Features
R.P. Prager, H. Trautmann, in: J. Correia, S. Smith, R. Qaddoura (Eds.), Applications of Evolutionary Computation, Springer Nature Switzerland, Cham, 2023, pp. 411–425.
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[126]
2023 | Conference Paper | LibreCat-ID: 46298
Peak-A-Boo! Generating Multi-objective Multiple Peaks Benchmark Problems with Precise Pareto Sets
L. Schäpermeier, P. Kerschke, C. Grimme, H. Trautmann, in: M. Emmerich, A. Deutz, H. Wang, A.V. Kononova, B. Naujoks, K. Li, K. Miettinen, I. Yevseyeva (Eds.), Evolutionary Multi-Criterion Optimization, Springer Nature Switzerland, Cham, 2023, pp. 291–304.
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[125]
2023 | Journal Article | LibreCat-ID: 46299
Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python
R.P. Prager, H. Trautmann, Evolutionary Computation (2023) 1–25.
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[124]
2023 | Conference Paper | LibreCat-ID: 52530
Investigating the Viability of Existing Exploratory Landscape Analysis Features for Mixed-Integer Problems
R.P. Prager, H. Trautmann, in: S. Silva, L. Paquete (Eds.), Companion Proceedings of the Conference on Genetic and Evolutionary Computation, GECCO 2023, Companion Volume, Lisbon, Portugal, July 15-19, 2023, ACM, 2023, pp. 451–454.
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[123]
2023 | Journal Article | LibreCat-ID: 46310
A study on the effects of normalized TSP features for automated algorithm selection
J. Heins, J. Bossek, J. Pohl, M. Seiler, H. Trautmann, P. Kerschke, Theoretical Computer Science 940 (2023) 123–145.
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[122]
2023 | Conference Paper | LibreCat-ID: 48898
Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP
M. Seiler, J. Rook, J. Heins, O.L. Preuß, J. Bossek, H. Trautmann, in: 2023 IEEE Symposium Series on Computational Intelligence (SSCI), n.d., pp. 361–368.
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[121]
2022 | Book Chapter | LibreCat-ID: 46300
(Semi-)Automatische Kommentarmoderation zur Erhaltung Konstruktiver Diskurse
M. Niemann, D. Assenmacher, J. Brunk, D.M. Riehle, J. Becker, H. Trautmann, in: G. Weitzel, S. Mündges (Eds.), Hate Speech — Definitionen, Ausprägungen, Lösungen, VS Verlag für Sozialwissenschaften, Wiesbaden, 2022, pp. 249–274.
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[120]
2022 | Conference Paper | LibreCat-ID: 46301
Textual One-Pass Stream Clustering with Automated Distance Threshold Adaption
D. Assenmacher, H. Trautmann, in: T. et al. Tran (Ed.), Intelligent Information and Database Systems, Springer International Publishing, Cham, 2022, pp. 3–16.
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[119]
2022 | Journal Article | LibreCat-ID: 46316
Benchmarking Crisis in Social Media Analytics: A Solution for the Data-Sharing Problem
D. Assenmacher, D. Weber, M. Preuss, A.C. Valdez, A. Bradshaw, B. Ross, S. Cresci, H. Trautmann, F. Neumann, C. Grimme, Social Science Computer Review 40 (2022) 1496–1522.
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[118]
2022 | Conference Paper | LibreCat-ID: 46306
HPO x ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis
L. Schneider, L. Schäpermeier, R.P. Prager, B. Bischl, H. Trautmann, P. Kerschke, in: G. Rudolph, A.V. Kononova, H. Aguirre, P. Kerschke, G. Ochoa, T. Tušar (Eds.), Parallel Problem Solving from Nature — PPSN XVII, Springer International Publishing, Cham, 2022, pp. 575–589.
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[117]
2022 | Journal Article | LibreCat-ID: 46308
The objective that freed me: a multi-objective local search approach for continuous single-objective optimization
P. Aspar, V. Steinhoff, L. Schäpermeier, P. Kerschke, H. Trautmann, C. Grimme, Natural Computing 1 (2022) 1–15.
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[116]
2022 | Journal Article | LibreCat-ID: 52532
Estimation of component reliability from superposed renewal processes by means of latent variables
A.S. Rodrigues, P. Kerschke, C.A.D.B. Pereira, H. Trautmann, C. Wagner, B. Hellingrath, A. Polpo, Comput. Stat. 37 (2022) 355–379.
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[115]
2022 | Conference Paper | LibreCat-ID: 46307
A Collection of Deep Learning-based Feature-Free Approaches for Characterizing Single-Objective Continuous Fitness Landscapes
M. Seiler, R.P. Prager, P. Kerschke, H. Trautmann, in: Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, New York, NY, USA, 2022, pp. 657–665.
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[114]
2022 | Conference Paper | LibreCat-ID: 46304
Automated Algorithm Selection in Single-Objective Continuous Optimization: A Comparative Study of Deep Learning and Landscape Analysis Methods
R.P. Prager, M. Seiler, H. Trautmann, P. Kerschke, in: G. Rudolph, A.V. Kononova, H. Aguirre, P. Kerschke, G. Ochoa, T. Tušar (Eds.), Parallel Problem Solving from Nature — PPSN XVII, Springer International Publishing, Cham, 2022, pp. 3–17.
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[113]
2022 | Conference Paper | LibreCat-ID: 46303
Artificial Social Media Campaign Creation for Benchmarking and Challenging Detection Approaches
J.S. Pohl, D. Assenmacher, M. Seiler, H. Trautmann, C. Grimme, in: for the Advancement of Artificial Intelligence (AAAI) Association (Ed.), Workshop Proceedings of the 16$^th$ International Conference on Web and Social Media (ICWSM), AAAI Press, Palo Alto, CA, USA, 2022, pp. 1–10.
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[112]
2022 | Journal Article | LibreCat-ID: 46309
Process-Oriented Stream Classification Pipeline: A Literature Review
L. Clever, J.S. Pohl, J. Bossek, P. Kerschke, H. Trautmann, Applied Sciences 12 (2022) 1–44.
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[111]
2022 | Conference Paper | LibreCat-ID: 46305
On the Potential of Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimization Problems
J. Rook, H. Trautmann, J. Bossek, C. Grimme, in: J. Fieldsend, M. Wagner (Eds.), Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery, New York, NY, USA, 2022, pp. 356–359–356–359.
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[110]
2022 | Conference Paper | LibreCat-ID: 46302
BBE: Basin-Based Evaluation of Multimodal Multi-objective Optimization Problems
J. Heins, J. Rook, L. Schäpermeier, P. Kerschke, J. Bossek, H. Trautmann, in: G. Rudolph, A. Kononova, H. Aguirre, P. Kerschke, G. Ochoa, T. Tušar (Eds.), Parallel Problem Solving from Nature — PPSN XVII, Springer International Publishing, Cham, 2022, pp. 192–206.
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[109]
2021 | Journal Article | LibreCat-ID: 46318
Peeking beyond peaks: Challenges and research potentials of continuous multimodal multi-objective optimization
C. Grimme, P. Kerschke, P. Aspar, H. Trautmann, M. Preuss, A.H. Deutz, H. Wang, M. Emmerich, Computers & Operations Research 136 (2021) 105489.
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[108]
2021 | Conference Paper | LibreCat-ID: 46311
Multi^3: Optimizing Multimodal Single-Objective Continuous Problems in the Multi-Objective Space by Means of Multiobjectivization
P. Aspar, P. Kerschke, V. Steinhoff, H. Trautmann, C. Grimme, in: H. et al. Ishibuchi (Ed.), Evolutionary Multi-Criterion Optimization: 11$^th$ International Conference, EMO 2021, Shenzhen, China, March 28–31, 2021, Proceedings, Springer, Heidelberg, Berlin, 2021, pp. 311–322.
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[107]
2021 | Journal Article | LibreCat-ID: 46317
What Is It About Humanity That We Can’t Give Away To Intelligent Machines? A European Perspective
C. Coombs, P. Stacey, P. Kawalek, B. Simeonova, J. Becker, K. Bergener, J.Á. Carvalho, M. Fantinato, N.F. Garmann-Johnsen, C. Grimme, A. Stein, H. Trautmann, International Journal of Information Management 58 (2021).
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[106]
2021 | Conference Paper | LibreCat-ID: 46315
Towards Feature-Free Automated Algorithm Selection for Single-Objective Continuous Black-Box Optimization
R.P. Prager, M. Seiler, H. Trautmann, P. Kerschke, in: 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 2021, pp. 1–8.
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[105]
2021 | Conference Paper | LibreCat-ID: 46312
RP-Mod & RP-Crowd: Moderator- and Crowd-Annotated German News Comment Datasets
D. Assenmacher, M. Niemann, K. Müller, M. Seiler, D.M. Riehle, H. Trautmann, in: Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1 (NeurIPS Datasets and Benchmarks 2021), Virtual Event, 2021, pp. 1–14.
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[104]
2021 | Conference Paper | LibreCat-ID: 46313
On the Potential of Normalized TSP Features for Automated Algorithm Selection
J. Heins, J. Bossek, J. Pohl, M. Seiler, H. Trautmann, P. Kerschke, in: for Computing Machinery Association (Ed.), Proceedings of the 16$^th$ ACM/SIGEVO Conference on Foundations of Genetic Algorithms (FOGA XVI), Association for Computing Machinery, Dornbirn, Austria, 2021, pp. 1–15.
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[103]
2020 | Conference Paper | LibreCat-ID: 46319
Towards Real-Time and Unsupervised Campaign Detection in Social Media
D. Assenmacher, L. Adam, H. Trautmann, C. Grimme, in: Proceedings of the Florida Artificial Intelligence Research Society Conference, Florida, USA, 2020.
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[102]
2020 | Conference Paper | LibreCat-ID: 46328
Per-Instance Configuration of the Modularized CMA-ES by Means of Classifier Chains and Exploratory Landscape Analysis
R.P. Prager, H. Trautmann, H. Wang, T.H.W. Bäck, P. Kerschke, in: Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI), Canberra, Australia, 2020, pp. 996–1003.
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[101]
2020 | Conference Paper | LibreCat-ID: 46320
A Two-Phase Framework for Detecting Manipulation Campaigns in Social Media
D. Assenmacher, L. Clever, J. Pohl, H. Trautmann, C. Grimme, in: G. Meiselwitz (Ed.), Proceedings of the International Conference on Human-Computer Interaction (HCII 2020): Social Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis, Springer International Publishing, Cham, 2020, pp. 201–214.
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[100]
2020 | Conference Paper | LibreCat-ID: 46325
Towards Automated Configuration of Stream Clustering Algorithms
M. Carnein, H. Trautmann, A. Bifet, B. Pfahringer, in: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD ’19), Würzburg, Germany, 2020, pp. 137–143.
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[99]
2020 | Conference Paper | LibreCat-ID: 46321
Inside the tool set of automation: Free social bot code revisited
D. Assenmacher, L. Frischlich , H. Trautmann, C. Grimme, L. Adam, in: C. Grimme, M. Preuß, F. Takes, A. Waldherr (Eds.), Disinformation in Open Online Media, Springer, Wiesbaden, 2020, pp. 101–114.
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[98]
2020 | Conference Paper | LibreCat-ID: 46326
confStream: Automated Algorithm Selection and Configuration of Stream Clustering Algorithms
M. Carnein, H. Trautmann, A. Bifet, B. Pfahringer, in: Proceedings of the 14$^th$ Learning and Intelligent Optimization Conference (LION 2020), Athens, Greece, 2020, pp. 80–95.
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[97]
2020 | Conference Paper | LibreCat-ID: 46327
Automated detection of nostalgic text in the context of societal pessimism
C. Lena, L. Frischlich, H. Trautmann, C. Grimme, in: C. Grimme, M. Preuß, F. Takes, A. Waldherr (Eds.), Disinformation in Open Online Media, Hamburg, Deutschland, 2020, pp. 48–58.
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[96]
2020 | Conference Paper | LibreCat-ID: 46329
Building an Integrated Comment Moderation System – Towards a Semi-automatic Moderation Tool
D.M. Riehle, M. Niemann, J. Brunk, D. Assenmacher, H. Trautmann, J. Becker, in: G. Meiselwitz (Ed.), Social Computing and Social Media. Participation, User Experience, Consumer Experience, and Applications of Social Computing, Springer International Publishing, Cham, 2020, pp. 71–86.
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[95]
2020 | Journal Article | LibreCat-ID: 46333
Demystifying Social Bots: On the Intelligence of Automated Social Media Actors
D. Assenmacher, L. Clever, L. Frischlich, T. Quandt, H. Trautmann, C. Grimme, Social Media + Society 6 (2020) 2056305120939264.
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[94]
2020 | Conference Paper | LibreCat-ID: 46332
Multiobjectivization of Local Search: Single-Objective Optimization Benefits From Multi-Objective Gradient Descent
V. Steinhoff, P. Kerschke, P. Aspar, H. Trautmann, C. Grimme, in: Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI), Canberra, Australia, 2020, pp. 2445–2452.
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[93]
2020 | Conference Paper | LibreCat-ID: 46331
Enhancing Resilience of Deep Learning Networks By Means of Transferable Adversaries
M. Seiler, H. Trautmann, P. Kerschke, in: Proceedings of the International Joint Conference on Neural Networks (IJCNN), Glasgow, UK, 2020, pp. 1–8.
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[92]
2020 | Conference Paper | LibreCat-ID: 46330
Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem
M. Seiler, J. Pohl, J. Bossek, P. Kerschke, H. Trautmann, in: T. Bäck, M. Preuss, A. Deutz, H. Wang, C. Doerr, M. Emmerich, H. Trautmann (Eds.), Proceedings of the 16$^th$ International Conference on Parallel Problem Solving from Nature (PPSN XVI), Leiden, The Netherlands, 2020, pp. 48–64.
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[91]
2020 | Journal Article | LibreCat-ID: 46334 LibreCat | DOI
 
[90]
2020 | Conference Paper | LibreCat-ID: 46322
Towards Decision Support in Dynamic Bi-Objective Vehicle Routing
J. Bossek, C. Grimme, G. Rudolph, H. Trautmann, in: Proceedings of the IEEE Congress on Evolutionary Computation (CEC), Glasgow, UK, 2020, pp. 1–8.
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[89]
2020 | Conference Paper | LibreCat-ID: 46324
Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection
J. Bossek, P. Kerschke, H. Trautmann, in: Proceedings of the IEEE Congress on Evolutionary Computation (CEC), IEEE, Glasgow, UK, 2020, pp. 1–8.
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[88]
2020 | Conference Paper | LibreCat-ID: 46323
Dynamic Bi-Objective Routing of Multiple Vehicles
J. Bossek, C. Grimme, H. Trautmann, in: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO ’20), ACM, Cancun, Mexico, 2020, pp. 166–174.
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[87]
2019 | Conference Paper | LibreCat-ID: 46343
Multimodality in Multi-Objective Optimization — More Boon than Bane?
C. Grimme, P. Kerschke, H. Trautmann, in: K. Deb, E. Goodman, C.C.A. Coello, K. Klamroth, K. Miettinen, S. Mostaghim, P. Reed (Eds.), Proceedings of the 10$^th$ International Conference on Evolutionary Multi-Criterion Optimization (EMO), Springer, East Lansing, MI, USA, 2019, pp. 126–138.
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[86]
2019 | Journal Article | LibreCat-ID: 46345
Automated Algorithm Selection: Survey and Perspectives
P. Kerschke, H.H. Hoos, F. Neumann, H. Trautmann, Evolutionary Computation (ECJ) 27 (2019) 3–45.
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[85]
2019 | Journal Article | LibreCat-ID: 46344
Optimizing Data Stream Representation: An Extensive Survey on Stream Clustering Algorithms
M. Carnein, H. Trautmann, Business and Information Systems Engineering (BISE) 61 (2019) 277–297.
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[84]
2019 | Conference Paper | LibreCat-ID: 46340
A Recommender System Based on Omni-Channel Customer Data
M. Carnein, L. Homann, H. Trautmann, G. Vossen, in: Proceedings of the 21$^st$ IEEE Conference on Business Informatics (CBI’ 19), Moscow, Russia, 2019, pp. 65–74.
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[83]
2019 | Conference Paper | LibreCat-ID: 46341
Customer Segmentation Based on Transactional Data Using Stream Clustering
M. Carnein, H. Trautmann, in: Proceedings of the 23$^rd$ Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD ’19), Macau, China, 2019, pp. 280–292.
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[82]
2019 | Conference Paper | LibreCat-ID: 46342
Sliding to the Global Optimum: How to Benefit from Non-Global Optima in Multimodal Multi-Objective Optimization
C. Grimme, P. Kerschke, M.T.M. Emmerich, M. Preuss, A.H. Deutz, H. Trautmann, in: AIP Conference Proceedings, AIP Publishing, Leiden, The Netherlands, 2019, pp. 020052-1-020052–4.
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[81]
2019 | Book Chapter | LibreCat-ID: 46336
Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-package flacco
P. Kerschke, H. Trautmann, in: N. Bauer, K. Ickstadt, K. Lübke, G. Szepannek, H. Trautmann, M. Vichi (Eds.), Applications in Statistical Computing, Springer, 2019, pp. 93–123.
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[80]
2019 | Book | LibreCat-ID: 46335
Applications in Statistical Computing — From Music Data Analysis to Industrial Quality Improvement
H. Trautmann, Applications in Statistical Computing — From Music Data Analysis to Industrial Quality Improvement, Springer International Publishing, 2019.
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[79]
2019 | Journal Article | LibreCat-ID: 46346 LibreCat | DOI
 
[78]
2019 | Journal Article | LibreCat-ID: 46347
Search Dynamics on Multimodal Multi-Objective Problems
P. Kerschke, H. Wang, M. Preuss, C. Grimme, A. Deutz, H. Trautmann, M. Emmerich, Evolutionary Computation (ECJ) 27 (2019) 577–609.
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[77]
2019 | Conference Paper | LibreCat-ID: 46339
Evolving Diverse TSP Instances by Means of Novel and Creative Mutation Operators
J. Bossek, P. Kerschke, A. Neumann, M. Wagner, F. Neumann, H. Trautmann, in: T. Friedrich, C. Doerr, D. Arnold (Eds.), Proceedings of the 15$^th$ ACM/SIGEVO Workshop on Foundations of Genetic Algorithms (FOGA XV), Potsdam, Germany, 2019, pp. 58–71.
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[76]
2019 | Conference Paper | LibreCat-ID: 46338
Bi-Objective Orienteering: Towards a Dynamic Multi-Objective Evolutionary Algorithm
J. Bossek, C. Grimme, S. Meisel, G. Rudolph, H. Trautmann, in: K. Deb, E. Goodman, C.C.A. Coello, K. Klamroth, K. Miettinen, S. Mostaghim, P. Reed (Eds.), Evolutionary Multi-Criterion Optimization (EMO), Springer International Publishing, East Lansing, Michigan, USA, 2019, pp. 516–528.
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[75]
2019 | Conference Paper | LibreCat-ID: 46337
Multi-Objective Performance Measurement: Alternatives to PAR10 and Expected Running Time
J. Bossek, H. Trautmann, in: R. Battiti, M. Brunato, I. Kotsireas, P. Pardalos (Eds.), Learning and Intelligent Optimization, Springer, Cham, 2019, pp. 215–219.
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[74]
2018 | Conference Paper | LibreCat-ID: 46350
Accurate WiFi based indoor positioning with continuous location sampling
J.E. van Engelen, J.J. van Lier, F.W. Takes, H. Trautmann, in: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (ECML/PKDD), Springer, Dublin, Ireland, 2018, pp. 524–540.
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[73]
2018 | Journal Article | LibreCat-ID: 46351
evoStream — Evolutionary Stream Clustering Utilizing Idle Times
M. Carnein, H. Trautmann, Big Data Research 14 (2018) 101–111.
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[72]
2018 | Journal Article | LibreCat-ID: 46353
Multiobjective evolutionary algorithms based on target region preferences
L. Li, Y. Wang, H. Trautmann, N. Jing, M. Emmerich, Swarm and Evolutionary Computation 40 (2018) 196–215.
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[71]
2018 | Conference Paper | LibreCat-ID: 46348
Local Search Effects in Bi-Objective Orienteering
J. Bossek, C. Grimme, S. Meisel, G. Rudolph, H. Trautmann, in: Proceedings of the Genetic and Evolutionary Computation Conference, ACM, New York, NY, USA, 2018, pp. 585–592.
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[70]
2018 | Journal Article | LibreCat-ID: 46352
Leveraging TSP Solver Complementarity through Machine Learning
P. Kerschke, L. Kotthoff, J. Bossek, H.H. Hoos, H. Trautmann, Evolutionary Computation (ECJ) 26 (2018) 597–620.
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[69]
2018 | Conference Paper | LibreCat-ID: 46349
Parameterization of State-of-the-Art Performance Indicators: A Robustness Study Based on Inexact TSP Solvers
P. Kerschke, J. Bossek, H. Trautmann, in: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO ’18) Companion, Kyoto, Japan, 2018, pp. 1737–1744.
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[68]
2017 | Book Chapter | LibreCat-ID: 46355
The Directed Search Method for Unconstrained Parameter Dependent Multi-objective Optimization Problems
S.H.V. Adrián, A. Lara, H. Trautmann, G. Rudolph, O. Schütze, in: O. Schütze, L. Trujillo, P. Legrand, Y. Maldonado (Eds.), NEO 15, Springer International Publishing, Cham, 2017, pp. 281–330.
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[67]
2017 | Conference Paper | LibreCat-ID: 46360
Towards Efficient and Informative Omni-Channel Customer Relationship Management
M. Carnein, M. Heuchert, L. Homann, H. Trautmann, G. Vossen, J. Becker, K. Kraume, in: S. de Cesare, F. Ulrich (Eds.), Proceedings of the 36$^th$ International Conference on Conceptual Modeling (ER’17), Springer International Publishing, Valencia, Spain, 2017, pp. 69–78.
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[66]
2017 | Conference Paper | LibreCat-ID: 46361
Customer Service in Social Media — An Empirical Study of the Airline Industry
M. Carnein, L. Homann, H. Trautmann, G. Vossen, K. Kraume, in: N. Ritter, H. Schwarz, M. Klettke, A. Thor, O. Kopp, M.W. Bernhard (Eds.), Proceedings of the 17$^th$ Conference on Database Systems for Business, Technology, and Web (BTW ’17), Gesellschaft für Informatik, Stuttgart, Germany, 2017, pp. 33–40.
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[65]
2017 | Book Chapter | LibreCat-ID: 46356
Building and Using an Ontology of Preference-Based Multiobjective Evolutionary Algorithms
L. Li, I. Yevseyeva, V. Basto-Fernandes, H. Trautmann, N. Jing, M. Emmerich, in: H. Trautmann, G. Rudolph, K. Klamroth, O. Schütze, M. Wiecek, Y. Jin, C. Grimme (Eds.), Evolutionary Multi-Criterion Optimization: 9$^th$ International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings, Springer International Publishing, Cham, 2017, pp. 406–421.
LibreCat | DOI
 
[64]
2017 | Book Chapter | LibreCat-ID: 46357
Multi-objective Optimization for Liner Shipping Fleet Repositioning
K. Tierney, J. Handali, C. Grimme, H. Trautmann, in: H. Trautmann, G. Rudolph, K. Klamroth, O. Schütze, M. Wiecek, Y. Jin, C. Grimme (Eds.), Evolutionary Multi-Criterion Optimization: 9$^th$ International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings, Springer International Publishing, Cham, 2017, pp. 622–638.
LibreCat | DOI
 
[63]
2017 | Conference Paper | LibreCat-ID: 46359
Stream Clustering of Chat Messages with Applications to Twitch Streams
M. Carnein, D. Assenmacher, H. Trautmann, in: S. de Cesare, F. Ulrich (Eds.), Proceedings of the 36$^th$ International Conference on Conceptual Modeling (ER’17), Springer International Publishing, Valencia, Spain, 2017, pp. 79–88.
LibreCat | DOI
 
[62]
2017 | Journal Article | LibreCat-ID: 46362
Social Bots: Human-Like by Means of Human Control?
C. Grimme, M. Preuss, L. Adam, H. Trautmann, Big Data 5 (2017) 279–293.
LibreCat | DOI
 
[61]
2017 | Conference Paper | LibreCat-ID: 46358
An Empirical Comparison of Stream Clustering Algorithms
M. Carnein, D. Assenmacher, H. Trautmann, in: Proceedings of the ACM International Conference on Computing Frontiers (CF ’17), Siena, Italy, 2017, pp. 361–365.
LibreCat | DOI
 
[60]
2016 | Conference Paper | LibreCat-ID: 46364
MO-ParamILS: A Multi-objective Automatic Algorithm Configuration Framework
A. Blot, H. Hoos, L. Jourdan, M. Marmion, H. Trautmann, in: V. et al. Joaquin (Ed.), LION 2016: Learning and Intelligent Optimization, Springer International Publishing, Cham, 2016, pp. 32–47.
LibreCat | DOI
 
[59]
2016 | Book Chapter | LibreCat-ID: 46363
On the Closest Averaged Hausdorff Archive for a Circularly Convex Pareto Front
G. Rudolph, O. Schütze, H. Trautmann, in: G. Squillero, P. Burelli (Eds.), Applications of Evolutionary Computation: 19$^th$ European Conference, EvoApplications 2016, Porto, Portugal, March 30 — April 1, 2016, Proceedings, Part II, Springer International Publishing, Cham, 2016, pp. 42–55.
LibreCat | DOI
 
[58]
2016 | Conference Paper | LibreCat-ID: 46369
Towards Analyzing Multimodality of Multiobjective Landscapes
P. Kerschke, H. Wang, M. Preuss, C. Grimme, A. Deutz, H. Trautmann, M. Emmerich, in: Proceedings of the 14$^th$ International Conference on Parallel Problem Solving from Nature (PPSN XIV), Springer, Edinburgh, Scotland, 2016, pp. 962–972.
LibreCat | DOI
 
[57]
2016 | Conference Paper | LibreCat-ID: 46367
Low-Budget Exploratory Landscape Analysis on Multiple Peaks Models
P. Kerschke, M. Preuss, S. Wessing, H. Trautmann, in: Proceedings of the 18$^th$ Annual Conference on Genetic and Evolutionary Computation, Denver, CO, USA, 2016, pp. 229–236.
LibreCat | DOI
 
[56]
2016 | Journal Article | LibreCat-ID: 46371
Optimal averaged Hausdorff archives for bi-objective problems: theoretical and numerical results
G. Rudolph, O. Schütze, C. Grimme, C. Domínguez-Medina, H. Trautmann, Computational Optimization and Applications (Comput. Optim. Appl.) 64 (2016) 589–618.
LibreCat | DOI
 
[55]
2016 | Journal Article | LibreCat-ID: 46372
The Hypervolume based Directed Search Method for Multi-Objective Optimization Problems
O. Schütze, H.V. Sosa, H. Trautmann, G. Rudolph, Journal of Heuristics 22 (2016) 273–300.
LibreCat | DOI
 
[54]
2016 | Conference Paper | LibreCat-ID: 46368
The R-Package FLACCO for Exploratory Landscape Analysis with Applications to Multi-Objective Optimization Problems
P. Kerschke, H. Trautmann, in: Proceedings of the IEEE Congress on Evolutionary Computation (CEC), Vancouver, BC, Kanada, 2016.
LibreCat | DOI
 
 
[52]
2016 | Conference Paper | LibreCat-ID: 46365
Evolving Instances for Maximizing Performance Differences of State-of-The-Art Inexact TSP Solvers
J. Bossek, H. Trautmann, in: P. Festa, M. Sellmann, J. Vanschoren (Eds.), Learning and Intelligent Optimization, Springer International Publishing, Ischia, Italy, 2016, pp. 48–59.
LibreCat | DOI
 
[51]
2016 | Conference Paper | LibreCat-ID: 46366
Understanding Characteristics of Evolved Instances for State-of-the-Art Inexact TSP Solvers with Maximum Performance Difference
J. Bossek, H. Trautmann, in: G. Adorni, S. Cagnoni, M. Gori, M. Maratea (Eds.), AI*IA 2016 Advances in Artificial Intelligence, Springer, Cham, 2016, pp. 3–12.
LibreCat | DOI
 
[50]
2015 | Conference Paper | LibreCat-ID: 46373
An Overview of Topic Discovery in Twitter Communication through Social Media Analytics
A. Chinnov, P. Kerschke, C. Meske, S. Stieglitz, H. Trautmann, in: Proceedings of the 20$^th$ Americas Conference on Information Systems (AMCIS ’15), Puerto Rico, 2015, pp. 1–10.
LibreCat
 
[49]
2015 | Conference Paper | LibreCat-ID: 46375
Detecting Funnel Structures by Means of Exploratory Landscape Analysis
P. Kerschke, M. Preuss, S. Wessing, H. Trautmann, in: S. Silva (Ed.), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO ’15), ACM, New York, NY, USA, 2015, pp. 265–272.
LibreCat | DOI
 
[48]
2015 | Conference Paper | LibreCat-ID: 46376
Improving the State of the Art in Inexact TSP Solving Using Per-Instance Algorithm Selection
L. Kotthoff, P. Kerschke, H. Hoos, H. Trautmann, in: C. Dhaenens, L. Jourdan, M.-E. Marmion (Eds.), Learning and Intelligent Optimization, Springer International Publishing, Cham, 2015, pp. 202–217.
LibreCat
 
[47]
2015 | Journal Article | LibreCat-ID: 46379
R2 Indicator Based Multiobjective Search
D. Brockhoff, T. Wagner, H. Trautmann, Evolutionary Computation Journal 23 (2015) 369–395.
LibreCat | DOI
 
[46]
2015 | Conference Paper | LibreCat-ID: 46374
Multi-Objective Analysis of Approaches to Dynamic Routing Of a Vehicle
C. Grimme, S. Meisel, H. Trautmann, G. Rudolph, M. Wölck, in: Proceedings of the European Conference On Information Systems, Münster, Germany, 2015.
LibreCat
 
[45]
2015 | Journal Article | LibreCat-ID: 46380
Analyzing the BBOB Results by Means of Benchmarking Concepts
O. Mersmann, M. Preuss, H. Trautmann, B. Bischl, C. Weihs, Evolutionary Computation Journal 23 (2015) 161–185.
LibreCat
 
[44]
2015 | Conference Paper | LibreCat-ID: 46377
Evaluation of a Multi-Objective EA on Benchmark Instances for Dynamic Routing of a Vehicle
S. Meisel, C. Grimme, J. Bossek, M. Wölck, G. Rudolph, H. Trautmann, in: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO ’15), Madrid, Spain, 2015, pp. 425–432.
LibreCat | DOI
 
[43]
2014 | Book Chapter | LibreCat-ID: 46381
Cell Mapping Techniques for Exploratory Landscape Analysis
P. Kerschke, M. Preuss, C. Hernández, O. Schütze, J.-Q. Sun, C. Grimme, G. Rudolph, B. Bischl, H. Trautmann, in: A.-A. Tantar, E. Tantar, J.-Q. Sun, W. Zhang, Q. Ding, O. Schütze, M.T.M. Emmerich, P. Legrand, M.P. Del, C.C.A. Coello (Eds.), EVOLVE — A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V, Springer International Publishing, Cham, 2014, pp. 115–131.
LibreCat | DOI
 
[42]
2014 | Book Chapter | LibreCat-ID: 46382
A Multiobjective Evolutionary Algorithm Guided by Averaged Hausdorff Distance to Aspiration Sets
G. Rudolph, O. Schütze, C. Grimme, H. Trautmann, in: A. Tantar, E. Tantar, J. Sun, W. Zhang, Q. Ding, O. Schütze, M. Emmerich, P. Legrand, M.P. Del, C.C. Coello (Eds.), EVOLVE — A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V, Springer International Publishing, 2014, pp. 261–273.
LibreCat | DOI
 
[41]
2014 | Conference Paper | LibreCat-ID: 46383
An Aspiration Set EMOA Based on Averaged Hausdorff Distances
G. Rudolph, C. Grimme, O. Schütze, H. Trautmann, in: Proceedings of the Learning and Intelligent OptimizatioN Conference (LION 8), Springer, Gainesville, Florida, USA, 2014, pp. 153–156.
LibreCat
 
[40]
2014 | Conference Paper | LibreCat-ID: 46384
Stopping Criteria for Multimodal Optimization
S. Wessing, M. Preuss, H. Trautmann, in: T. Bartz-Beielstein, J. Branke, B. Filipic, J. Smith (Eds.), Proceedings of the Parallel Problem Solving from Nature — PPSN XIII, Springer, Ljubljana, Slovenia, 2014, pp. 141–150.
LibreCat | DOI
 
[39]
2013 | Book Chapter | LibreCat-ID: 46385
The Directed Search Method for Pareto Front Approximations with Maximum Dominated Hypervolume
H.V. Sosa, O. Schütze, G. Rudolph, H. Trautmann, in: M. Emmerich, A. Deutz, O. Schuetze, T. Bäck, A. Tantar, P. Moral, P. Legrand, P. Bouvry, C. Coello (Eds.), EVOLVE — A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation IV, Springer International Publishing, 2013, pp. 189–205.
LibreCat | DOI
 
[38]
2013 | Book Chapter | LibreCat-ID: 46386
Finding Evenly Spaced Pareto Fronts for Three-Objective Optimization Problems
H. Trautmann, G. Rudolph, C. Dominguez-Medina, O. Schütze, in: O. Schütze, C.C. Coello, A. Tantar, E. Tantar, P. Bouvry, M.P. Del, P. Legrand (Eds.), EVOLVE — A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II, Springer Berlin Heidelberg, 2013, pp. 89–105.
LibreCat | DOI
 
[37]
2013 | Conference Paper | LibreCat-ID: 46388
A Feature-Based Comparison of Local Search and the Christofides Algorithm for the Travelling Salesperson Problem
S. Nallaperuma, M. Wagner, F. Neumann, B. Bischl, O. Mersmann, H. Trautmann, in: Proceedings of the Twelfth Workshop on Foundations of Genetic Algorithms XII, Association for Computing Machinery, New York, NY, USA, 2013, pp. 147–160.
LibreCat | DOI
 
[36]
2013 | Conference Paper | LibreCat-ID: 46390
Evenly Spaced Pareto Front Approximations for Tricriteria Problems Based on Triangulation
G. Rudolph, H. Trautmann, S. Sengupta, O. Schütze, in: R. Purshouse, P. Fleming, C. Fonseca, S. Greco, J. Shaw (Eds.), Evolutionary Multi-Criterion Optimization — 7$^th$ International Conference, EMO 2013, Sheffield, UK, Proceedings, Springer, 2013, pp. 443–458.
LibreCat | DOI
 
[35]
2013 | Conference Paper | LibreCat-ID: 46391
Directed Search Method for Indicator-based Multi-objective Evolutionary Algorithms
V. Sosa-Hernandez, O. Schütze, G. Rudoph, H. Trautmann, in: Proceeding of the Fifteenth Annual Conference Companion on Genetic and Evolutionary Computation Conference Companion, ACM, New York, NY, USA, 2013, pp. 1699–1702.
LibreCat | DOI
 
[34]
2013 | Conference Paper | LibreCat-ID: 46387
Evenly spaced Pareto fronts of quad-objective problems using PSA partitioning technique
C. Dominguez-Medina, G. Rudolph, O. Schütze, H. Trautmann, in: Proceedings of the 2013 IEEE Congress on Evolutionary Computation (CEC), Cancun, Mexico, 2013, pp. 3190–3197.
LibreCat | DOI
 
[33]
2013 | Conference Paper | LibreCat-ID: 46389
Reactive strategy choice in StarCraft by means of Fuzzy Control
M. Preuss, D. Kozakowski, J. Hagelbäck, H. Trautmann, in: 2013 IEEE Conference on Computational Inteligence in Games (CIG), 2013, pp. 1–8.
LibreCat | DOI
 
[32]
2013 | Journal Article | LibreCat-ID: 46395
Indicator-based Selection in Evolutionary Multiobjective Optimization Algorithms Based On the Desirability Index
H. Trautmann, T. Wagner, D. Biermann, C. Weihs, Journal of Multi-Criteria Decision Analysis 20 (2013) 319–337.
LibreCat | DOI
 
[31]
2013 | Conference Paper | LibreCat-ID: 46393
Preference Articulation by Means of the R2 Indicator
T. Wagner, H. Trautmann, D. Brockhoff, in: R.C. Purshouse, P.J. Fleming, C.M. Fonseca, S. Greco, J. Shaw (Eds.), Evolutionary Multi-Criterion Optimization, Springer Berlin Heidelberg, Berlin, Heidelberg, 2013, pp. 81–95.
LibreCat
 
[30]
2013 | Conference Paper | LibreCat-ID: 46392
R2-EMOA: Focused Multiobjective Search Using R2-Indicator-Based Selection
H. Trautmann, T. Wagner, D. Brockhoff, in: G. Nicosia, P. Pardalos (Eds.), Learning and Intelligent Optimization, Springer Berlin Heidelberg, Berlin, Heidelberg, 2013, pp. 70–74.
LibreCat
 
[29]
2013 | Journal Article | LibreCat-ID: 46394
A Novel Feature-Based Approach to Characterize Algorithm Performance for the Traveling Salesman Problem
O. Mersmann, B. Bischl, H. Trautmann, M. Wagner, J. Bossek, F. Neumann, Annals of Mathematics and Artificial Intelligence 69 (2013) 151–182.
LibreCat
 
[28]
2012 | Conference Paper | LibreCat-ID: 46397
On the Properties of the R2 Indicator
D. Brockhoff, T. Wagner, H. Trautmann, in: Proceedings of the 14th Annual Conference on Genetic and Evolutionary Computation, Association for Computing Machinery, New York, NY, USA, 2012, pp. 465–472.
LibreCat | DOI
 
[27]
2012 | Conference Paper | LibreCat-ID: 46396
Algorithm Selection Based on Exploratory Landscape Analysis and Cost-Sensitive Learning
B. Bischl, O. Mersmann, H. Trautmann, M. Preuß, in: Proceedings of the 14th Annual Conference on Genetic and Evolutionary Computation, Association for Computing Machinery, New York, NY, USA, 2012, pp. 313–320.
LibreCat | DOI
 
[26]
2012 | Journal Article | LibreCat-ID: 46399
Resampling Methods in Model Validation
B. Bischl, O. Mersmann, H. Trautmann, C. Weihs, Evolutionary Computation Journal 20 (2012) 249–275.
LibreCat | DOI
 
[25]
2012 | Journal Article | LibreCat-ID: 46400
Homogene Approximation der Paretofront bei mehrkriteriellen Kontrollproblemen
G. Rudolph, H. Trautmann, O. Schütze, At-Automatisierungstechnik 60 (2012) 610–621.
LibreCat | DOI
 
[24]
2012 | Conference Paper | LibreCat-ID: 46398
Local Search and the Traveling Salesman Problem: A Feature-Based Characterization of Problem Hardness
O. Mersmann, B. Bischl, J. Bossek, H. Trautmann, M. Wagner, F. Neumann, in: Y. Hamadi, M. Schoenauer (Eds.), Learning and Intelligent Optimization, Springer Berlin Heidelberg, Berlin, Heidelberg, 2012, pp. 115–129.
LibreCat | DOI
 
[23]
2011 | Conference Paper | LibreCat-ID: 46401
Exploratory Landscape Analysis
O. Mersmann, B. Bischl, H. Trautmann, M. Preuss, C. Weihs, G. Rudolph, in: Proceedings of the 13th Annual Conference on Genetic and Evolutionary Computation, Association for Computing Machinery, New York, NY, USA, 2011, pp. 829–836.
LibreCat | DOI
 
[22]
2011 | Conference Paper | LibreCat-ID: 46402
A Taxonomy of Online Stopping Criteria for Multi-Objective Evolutionary Algorithms
T. Wagner, H. Trautmann, L. Martí, in: R.H.C. Takahashi, K. Deb, E.F. Wanner, S. Greco (Eds.), Evolutionary Multi-Criterion Optimization, Springer Berlin Heidelberg, Berlin, Heidelberg, 2011, pp. 16–30.
LibreCat | DOI
 
[21]
2011 | Journal Article | LibreCat-ID: 46403
Advanced concepts for multi-objective evolutionary optimization in aircraft industry
B. Naujoks, H. Trautmann, S. Wessing, C. Weihs, Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 225 (2011) 1081–1096.
LibreCat | DOI
 
[20]
2010 | Conference Paper | LibreCat-ID: 46408
Preference-Based Multi-Objective Particle Swarm Optimization Using Desirabilities
S. Mostaghim, H. Trautmann, O. Mersmann, in: R. Schaefer, C. Cotta, J. Kołodziej, G. Rudolph (Eds.), Parallel Problem Solving from Nature, PPSN XI, Springer Berlin Heidelberg, Berlin, Heidelberg, 2010, pp. 101–110.
LibreCat | DOI
 
[19]
2010 | Conference Paper | LibreCat-ID: 46405
Benchmarking Evolutionary Algorithms: Towards Exploratory Landscape Analysis
O. Mersmann, M. Preuss, H. Trautmann, in: Proceedings of the 11th International Conference on Parallel Problem Solving from Nature: Part I, Springer-Verlag, Berlin, Heidelberg, 2010, pp. 73–82.
LibreCat
 
[18]
2010 | Conference Paper | LibreCat-ID: 46406
On the Distribution of EMOA Hypervolumes
O. Mersmann, H. Trautmann, B. Naujoks, C. Weihs, in: C. Blum, R. Battiti (Eds.), Learning and Intelligent Optimization, 4$^th$ International Conference, LION 4, Venice, Italy, Springer, 2010, pp. 333–337.
LibreCat
 
[17]
2010 | Conference Paper | LibreCat-ID: 46407
Benchmarking evolutionary multiobjective optimization algorithms
O. Mersmann, H. Trautmann, B. Naujoks, C. Weihs, in: IEEE Congress on Evolutionary Computation, 2010, pp. 1–8.
LibreCat | DOI
 
[16]
2010 | Conference Paper | LibreCat-ID: 46404
Sequential Parameter Optimisation for Multi-Objective Evolutionary Optimisation of Additive Layer Manufacturing
J. Ding, S. Wessing, H. Trautmann, J. Mehnen, B. Naujoks, in: R. Teti (Ed.), Proceedings of the 7$^th$ CIRP International Seminar on Intelligent Computation in Manufacturing Engineering (CIRP ICME ’10), Copyright C.O.C. Com. org. Conv., Capri, Italy, 2010.
LibreCat
 
[15]
2010 | Conference Paper | LibreCat-ID: 46409
New Uncertainty Handling Strategies in Multi-objective Evolutionary Optimization
T. Voß, H. Trautmann, C. Igel, in: R. Schaefer, C. Cotta, J. Kołodziej, G. Rudolph (Eds.), Parallel Problem Solving from Nature, PPSN XI, Springer Berlin Heidelberg, Berlin, Heidelberg, 2010, pp. 260–269.
LibreCat | DOI
 
[14]
2010 | Journal Article | LibreCat-ID: 46412
Integration of Preferences in Hypervolume-Based Multiobjective Evolutionary Algorithms by Means of Desirability Functions
T. Wagner, H. Trautmann, IEEE Transactions on Evolutionary Computation 14 (2010) 688–701.
LibreCat | DOI
 
[13]
2010 | Journal Article | LibreCat-ID: 46411
Work roll cooling system design optimisation in presence of uncertainty and constrains
Y.T. Azene, R. Roy, D. Farrugia, C. Onisa, J. Mehnen, H. Trautmann, CIRP Journal of Manufacturing Science and Technology 2 (2010) 290–298.
LibreCat | DOI
 
[12]
2010 | Conference Paper | LibreCat-ID: 46410
Online convergence detection for evolutionary multi-objective algorithms revisited
T. Wagner, H. Trautmann, in: IEEE Congress on Evolutionary Computation, 2010, pp. 1–8.
LibreCat | DOI
 
[11]
2009 | Conference Paper | LibreCat-ID: 46414
OCD: Online Convergence Detection for Evolutionary Multi-Objective Algorithms Based on Statistical Testing
T. Wagner, H. Trautmann, B. Naujoks, in: M. Ehrgott, C.M. Fonseca, X. Gandibleux, J.-K. Hao, M. Sevaux (Eds.), Evolutionary Multi-Criterion Optimization, Springer Berlin Heidelberg, Berlin, Heidelberg, 2009, pp. 198–215.
LibreCat | DOI
 
[10]
2009 | Conference Paper | LibreCat-ID: 46415
Pareto-dominance in noisy environments
H. Trautmann, J. Mehnen, B. Naujoks, in: 2009 IEEE Congress on Evolutionary Computation, 2009, pp. 3119–3126.
LibreCat | DOI
 
[9]
2009 | Conference Paper | LibreCat-ID: 46413
Online convergence detection for multiobjective aerodynamic applications
B. Naujoks, H. Trautmann, in: 2009 IEEE Congress on Evolutionary Computation, 2009, pp. 332–339.
LibreCat | DOI
 
[8]
2009 | Journal Article | LibreCat-ID: 46416
Statistical Methods for Improving Multi-objective Evolutionary Optimisation
H. Trautmann, J. Mehnen, International Journal of Computational Intelligence Research 5 (2009) 72–78.
LibreCat
 
[7]
2009 | Journal Article | LibreCat-ID: 46417
Preference-based Pareto optimization in certain and noisy environments
H. Trautmann, J. Mehnen, Engineering Optimization 41 (2009) 23–38.
LibreCat | DOI
 
[6]
2009 | Journal Article | LibreCat-ID: 46418
Statistical Methods for Convergence Detection of Multi-Objective Evolutionary Algorithms
H. Trautmann, T. Wagner, B. Naujoks, M. Preuss, J. Mehnen, Evolutionary Computation 17 (2009) 493–509.
LibreCat | DOI
 
[5]
2008 | Conference Paper | LibreCat-ID: 46419
Robust Multi-objective Optimisation of Weld Bead Geometry for Additive Manufacturing
J. Mehnen, H. Trautmann, in: R. Teti (Ed.), Proceedings of the 6$^th$ CIRP International Seminar on Intelligent Computation in Manufacturing Engineering (CIRP ICME ’08), Copyright C.O.C. Com. org. Conv., Naples, Italy, 2008.
LibreCat
 
[4]
2008 | Conference Paper | LibreCat-ID: 46420
A Convergence Criterion for Multiobjective Evolutionary Algorithms Based on Systematic Statistical Testing
H. Trautmann, U. Ligges, J. Mehnen, M. Preuss, in: G. Rudolph, T. Jansen, N. Beume, S. Lucas, C. Poloni (Eds.), Parallel Problem Solving from Nature – PPSN X, Springer Berlin Heidelberg, Berlin, Heidelberg, 2008, pp. 825–836.
LibreCat
 
[3]
2007 | Conference Paper | LibreCat-ID: 46421
Introducing user preference using Desirability Functions in Multi-Objective Evolutionary Optimisation of noisy processes
J. Mehnen, H. Trautmann, A. Tiwari, in: 2007 IEEE Congress on Evolutionary Computation, 2007, pp. 2687–2694.
LibreCat | DOI
 
[2]
2006 | Journal Article | LibreCat-ID: 46423 LibreCat | DOI
 
[1]
2006 | Conference Paper | LibreCat-ID: 46422
Integration of Expert’s Preferences in Pareto Optimization by Desirability Function Techniques
J. Mehnen, H. Trautmann, in: R. Teti (Ed.), CIRP ICME ’06) — Proceedings of the 5$^th$ CIRP International Seminar on Intelligent Computation in Manufacturing Engineering, C.O.C. Com. org. Conv. CIRP ICME ’06, Ischia, Italy, 2006, pp. 293–298.
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[135]
2024 | Journal Article | LibreCat-ID: 54548
Exploratory Landscape Analysis for Mixed-Variable Problems
R.P. Prager, H. Trautmann, IEEE Transactions on Evolutionary Computation (2024) 1–1.
LibreCat | DOI
 
[134]
2024 | Conference Paper | LibreCat-ID: 54642
Hybridizing Target- and SHAP-encoded Features for Algorithm Selection in Mixed-variable Black-box Optimization
K. Dietrich, R. Prager, C. Doerr, H. Trautmann, in: M. Affenzeller, S. Winkler, A. Kononova, H. Trautmann, T. Tušar, P. Machado, T. Baeck (Eds.), Parallel Problem Solving from Nature — PPSN XVIII, Springer International Publishing, Cham, 2024, pp. 1–14.
LibreCat
 
[133]
2024 | Conference Paper | LibreCat-ID: 54643
Learned Features vs. Classical ELA on Affine BBOB Functions
M. Seiler, U. Skvorc, G. Cenikj, C. Doerr, H. Trautmann, in: M. Affenzeller, S. Winkler, A. Kononova, H. Trautmann, T. Tušar, P. Machado, T. Baeck (Eds.), Parallel Problem Solving from Nature — PPSN XVIII, Springer International Publishing, Cham, 2024, pp. 1–14.
LibreCat
 
[132]
2024 | Book Chapter | LibreCat-ID: 52759
On the Potential of Multi-objective Automated Algorithm Configuration on Multi-modal Multi-objective Optimisation Problems
O.L. Preuß, J. Rook, H. Trautmann, in: Applications of Evolutionary Computation, Springer Nature Switzerland, Cham, 2024.
LibreCat | DOI
 
[131]
2024 | Conference Paper | LibreCat-ID: 52749
Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP
M. Seiler, J. Rook, J. Heins, O.L. Preuß, J. Bossek, H. Trautmann, in: 2023 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, 2024.
LibreCat | DOI
 
[130]
2024 | Conference Paper | LibreCat-ID: 55649
Multi-objective Ranking using Bootstrap Resampling
J. Rook, H.H. Hoos, H. Trautmann, in: X. Li, J. Handl (Eds.), Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO 2024, Melbourne, VIC, Australia, July 14-18, 2024, ACM, 2024, pp. 155–158.
LibreCat | DOI
 
[129]
2024 | Journal Article | LibreCat-ID: 56221
Finding ϵ-Locally Optimal Solutions for Multi-Objective Multimodal Optimization
A.E. Rodriguez-Fernandez, L. Schäpermeier, C. Hernández, P. Kerschke, H. Trautmann, O. Schütze, IEEE Transactions on Evolutionary Computation (2024) 1–1.
LibreCat | DOI
 
[128]
2023 | Conference Paper | LibreCat-ID: 47522
Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features
R.P. Prager, K. Dietrich, L. Schneider, L. Schäpermeier, B. Bischl, P. Kerschke, H. Trautmann, O. Mersmann, in: Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, Association for Computing Machinery, New York, NY, USA, 2023, pp. 129–139.
LibreCat | DOI
 
[127]
2023 | Conference Paper | LibreCat-ID: 46297
Nullifying the Inherent Bias of Non-invariant Exploratory Landscape Analysis Features
R.P. Prager, H. Trautmann, in: J. Correia, S. Smith, R. Qaddoura (Eds.), Applications of Evolutionary Computation, Springer Nature Switzerland, Cham, 2023, pp. 411–425.
LibreCat
 
[126]
2023 | Conference Paper | LibreCat-ID: 46298
Peak-A-Boo! Generating Multi-objective Multiple Peaks Benchmark Problems with Precise Pareto Sets
L. Schäpermeier, P. Kerschke, C. Grimme, H. Trautmann, in: M. Emmerich, A. Deutz, H. Wang, A.V. Kononova, B. Naujoks, K. Li, K. Miettinen, I. Yevseyeva (Eds.), Evolutionary Multi-Criterion Optimization, Springer Nature Switzerland, Cham, 2023, pp. 291–304.
LibreCat
 
[125]
2023 | Journal Article | LibreCat-ID: 46299
Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python
R.P. Prager, H. Trautmann, Evolutionary Computation (2023) 1–25.
LibreCat | DOI
 
[124]
2023 | Conference Paper | LibreCat-ID: 52530
Investigating the Viability of Existing Exploratory Landscape Analysis Features for Mixed-Integer Problems
R.P. Prager, H. Trautmann, in: S. Silva, L. Paquete (Eds.), Companion Proceedings of the Conference on Genetic and Evolutionary Computation, GECCO 2023, Companion Volume, Lisbon, Portugal, July 15-19, 2023, ACM, 2023, pp. 451–454.
LibreCat | DOI
 
[123]
2023 | Journal Article | LibreCat-ID: 46310
A study on the effects of normalized TSP features for automated algorithm selection
J. Heins, J. Bossek, J. Pohl, M. Seiler, H. Trautmann, P. Kerschke, Theoretical Computer Science 940 (2023) 123–145.
LibreCat | DOI
 
[122]
2023 | Conference Paper | LibreCat-ID: 48898
Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP
M. Seiler, J. Rook, J. Heins, O.L. Preuß, J. Bossek, H. Trautmann, in: 2023 IEEE Symposium Series on Computational Intelligence (SSCI), n.d., pp. 361–368.
LibreCat | DOI
 
[121]
2022 | Book Chapter | LibreCat-ID: 46300
(Semi-)Automatische Kommentarmoderation zur Erhaltung Konstruktiver Diskurse
M. Niemann, D. Assenmacher, J. Brunk, D.M. Riehle, J. Becker, H. Trautmann, in: G. Weitzel, S. Mündges (Eds.), Hate Speech — Definitionen, Ausprägungen, Lösungen, VS Verlag für Sozialwissenschaften, Wiesbaden, 2022, pp. 249–274.
LibreCat | DOI
 
[120]
2022 | Conference Paper | LibreCat-ID: 46301
Textual One-Pass Stream Clustering with Automated Distance Threshold Adaption
D. Assenmacher, H. Trautmann, in: T. et al. Tran (Ed.), Intelligent Information and Database Systems, Springer International Publishing, Cham, 2022, pp. 3–16.
LibreCat | DOI
 
[119]
2022 | Journal Article | LibreCat-ID: 46316
Benchmarking Crisis in Social Media Analytics: A Solution for the Data-Sharing Problem
D. Assenmacher, D. Weber, M. Preuss, A.C. Valdez, A. Bradshaw, B. Ross, S. Cresci, H. Trautmann, F. Neumann, C. Grimme, Social Science Computer Review 40 (2022) 1496–1522.
LibreCat | DOI
 
[118]
2022 | Conference Paper | LibreCat-ID: 46306
HPO x ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis
L. Schneider, L. Schäpermeier, R.P. Prager, B. Bischl, H. Trautmann, P. Kerschke, in: G. Rudolph, A.V. Kononova, H. Aguirre, P. Kerschke, G. Ochoa, T. Tušar (Eds.), Parallel Problem Solving from Nature — PPSN XVII, Springer International Publishing, Cham, 2022, pp. 575–589.
LibreCat | DOI
 
[117]
2022 | Journal Article | LibreCat-ID: 46308
The objective that freed me: a multi-objective local search approach for continuous single-objective optimization
P. Aspar, V. Steinhoff, L. Schäpermeier, P. Kerschke, H. Trautmann, C. Grimme, Natural Computing 1 (2022) 1–15.
LibreCat | DOI
 
[116]
2022 | Journal Article | LibreCat-ID: 52532
Estimation of component reliability from superposed renewal processes by means of latent variables
A.S. Rodrigues, P. Kerschke, C.A.D.B. Pereira, H. Trautmann, C. Wagner, B. Hellingrath, A. Polpo, Comput. Stat. 37 (2022) 355–379.
LibreCat | DOI
 
[115]
2022 | Conference Paper | LibreCat-ID: 46307
A Collection of Deep Learning-based Feature-Free Approaches for Characterizing Single-Objective Continuous Fitness Landscapes
M. Seiler, R.P. Prager, P. Kerschke, H. Trautmann, in: Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, New York, NY, USA, 2022, pp. 657–665.
LibreCat | DOI
 
[114]
2022 | Conference Paper | LibreCat-ID: 46304
Automated Algorithm Selection in Single-Objective Continuous Optimization: A Comparative Study of Deep Learning and Landscape Analysis Methods
R.P. Prager, M. Seiler, H. Trautmann, P. Kerschke, in: G. Rudolph, A.V. Kononova, H. Aguirre, P. Kerschke, G. Ochoa, T. Tušar (Eds.), Parallel Problem Solving from Nature — PPSN XVII, Springer International Publishing, Cham, 2022, pp. 3–17.
LibreCat | DOI
 
[113]
2022 | Conference Paper | LibreCat-ID: 46303
Artificial Social Media Campaign Creation for Benchmarking and Challenging Detection Approaches
J.S. Pohl, D. Assenmacher, M. Seiler, H. Trautmann, C. Grimme, in: for the Advancement of Artificial Intelligence (AAAI) Association (Ed.), Workshop Proceedings of the 16$^th$ International Conference on Web and Social Media (ICWSM), AAAI Press, Palo Alto, CA, USA, 2022, pp. 1–10.
LibreCat | DOI
 
[112]
2022 | Journal Article | LibreCat-ID: 46309
Process-Oriented Stream Classification Pipeline: A Literature Review
L. Clever, J.S. Pohl, J. Bossek, P. Kerschke, H. Trautmann, Applied Sciences 12 (2022) 1–44.
LibreCat | DOI
 
[111]
2022 | Conference Paper | LibreCat-ID: 46305
On the Potential of Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimization Problems
J. Rook, H. Trautmann, J. Bossek, C. Grimme, in: J. Fieldsend, M. Wagner (Eds.), Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery, New York, NY, USA, 2022, pp. 356–359–356–359.
LibreCat | DOI
 
[110]
2022 | Conference Paper | LibreCat-ID: 46302
BBE: Basin-Based Evaluation of Multimodal Multi-objective Optimization Problems
J. Heins, J. Rook, L. Schäpermeier, P. Kerschke, J. Bossek, H. Trautmann, in: G. Rudolph, A. Kononova, H. Aguirre, P. Kerschke, G. Ochoa, T. Tušar (Eds.), Parallel Problem Solving from Nature — PPSN XVII, Springer International Publishing, Cham, 2022, pp. 192–206.
LibreCat
 
[109]
2021 | Journal Article | LibreCat-ID: 46318
Peeking beyond peaks: Challenges and research potentials of continuous multimodal multi-objective optimization
C. Grimme, P. Kerschke, P. Aspar, H. Trautmann, M. Preuss, A.H. Deutz, H. Wang, M. Emmerich, Computers & Operations Research 136 (2021) 105489.
LibreCat | DOI
 
[108]
2021 | Conference Paper | LibreCat-ID: 46311
Multi^3: Optimizing Multimodal Single-Objective Continuous Problems in the Multi-Objective Space by Means of Multiobjectivization
P. Aspar, P. Kerschke, V. Steinhoff, H. Trautmann, C. Grimme, in: H. et al. Ishibuchi (Ed.), Evolutionary Multi-Criterion Optimization: 11$^th$ International Conference, EMO 2021, Shenzhen, China, March 28–31, 2021, Proceedings, Springer, Heidelberg, Berlin, 2021, pp. 311–322.
LibreCat | DOI
 
[107]
2021 | Journal Article | LibreCat-ID: 46317
What Is It About Humanity That We Can’t Give Away To Intelligent Machines? A European Perspective
C. Coombs, P. Stacey, P. Kawalek, B. Simeonova, J. Becker, K. Bergener, J.Á. Carvalho, M. Fantinato, N.F. Garmann-Johnsen, C. Grimme, A. Stein, H. Trautmann, International Journal of Information Management 58 (2021).
LibreCat | DOI
 
[106]
2021 | Conference Paper | LibreCat-ID: 46315
Towards Feature-Free Automated Algorithm Selection for Single-Objective Continuous Black-Box Optimization
R.P. Prager, M. Seiler, H. Trautmann, P. Kerschke, in: 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 2021, pp. 1–8.
LibreCat | DOI
 
[105]
2021 | Conference Paper | LibreCat-ID: 46312
RP-Mod & RP-Crowd: Moderator- and Crowd-Annotated German News Comment Datasets
D. Assenmacher, M. Niemann, K. Müller, M. Seiler, D.M. Riehle, H. Trautmann, in: Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1 (NeurIPS Datasets and Benchmarks 2021), Virtual Event, 2021, pp. 1–14.
LibreCat
 
[104]
2021 | Conference Paper | LibreCat-ID: 46313
On the Potential of Normalized TSP Features for Automated Algorithm Selection
J. Heins, J. Bossek, J. Pohl, M. Seiler, H. Trautmann, P. Kerschke, in: for Computing Machinery Association (Ed.), Proceedings of the 16$^th$ ACM/SIGEVO Conference on Foundations of Genetic Algorithms (FOGA XVI), Association for Computing Machinery, Dornbirn, Austria, 2021, pp. 1–15.
LibreCat | DOI
 
[103]
2020 | Conference Paper | LibreCat-ID: 46319
Towards Real-Time and Unsupervised Campaign Detection in Social Media
D. Assenmacher, L. Adam, H. Trautmann, C. Grimme, in: Proceedings of the Florida Artificial Intelligence Research Society Conference, Florida, USA, 2020.
LibreCat
 
[102]
2020 | Conference Paper | LibreCat-ID: 46328
Per-Instance Configuration of the Modularized CMA-ES by Means of Classifier Chains and Exploratory Landscape Analysis
R.P. Prager, H. Trautmann, H. Wang, T.H.W. Bäck, P. Kerschke, in: Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI), Canberra, Australia, 2020, pp. 996–1003.
LibreCat | DOI
 
[101]
2020 | Conference Paper | LibreCat-ID: 46320
A Two-Phase Framework for Detecting Manipulation Campaigns in Social Media
D. Assenmacher, L. Clever, J. Pohl, H. Trautmann, C. Grimme, in: G. Meiselwitz (Ed.), Proceedings of the International Conference on Human-Computer Interaction (HCII 2020): Social Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis, Springer International Publishing, Cham, 2020, pp. 201–214.
LibreCat | DOI
 
[100]
2020 | Conference Paper | LibreCat-ID: 46325
Towards Automated Configuration of Stream Clustering Algorithms
M. Carnein, H. Trautmann, A. Bifet, B. Pfahringer, in: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD ’19), Würzburg, Germany, 2020, pp. 137–143.
LibreCat | DOI
 
[99]
2020 | Conference Paper | LibreCat-ID: 46321
Inside the tool set of automation: Free social bot code revisited
D. Assenmacher, L. Frischlich , H. Trautmann, C. Grimme, L. Adam, in: C. Grimme, M. Preuß, F. Takes, A. Waldherr (Eds.), Disinformation in Open Online Media, Springer, Wiesbaden, 2020, pp. 101–114.
LibreCat
 
[98]
2020 | Conference Paper | LibreCat-ID: 46326
confStream: Automated Algorithm Selection and Configuration of Stream Clustering Algorithms
M. Carnein, H. Trautmann, A. Bifet, B. Pfahringer, in: Proceedings of the 14$^th$ Learning and Intelligent Optimization Conference (LION 2020), Athens, Greece, 2020, pp. 80–95.
LibreCat | DOI
 
[97]
2020 | Conference Paper | LibreCat-ID: 46327
Automated detection of nostalgic text in the context of societal pessimism
C. Lena, L. Frischlich, H. Trautmann, C. Grimme, in: C. Grimme, M. Preuß, F. Takes, A. Waldherr (Eds.), Disinformation in Open Online Media, Hamburg, Deutschland, 2020, pp. 48–58.
LibreCat
 
[96]
2020 | Conference Paper | LibreCat-ID: 46329
Building an Integrated Comment Moderation System – Towards a Semi-automatic Moderation Tool
D.M. Riehle, M. Niemann, J. Brunk, D. Assenmacher, H. Trautmann, J. Becker, in: G. Meiselwitz (Ed.), Social Computing and Social Media. Participation, User Experience, Consumer Experience, and Applications of Social Computing, Springer International Publishing, Cham, 2020, pp. 71–86.
LibreCat
 
[95]
2020 | Journal Article | LibreCat-ID: 46333
Demystifying Social Bots: On the Intelligence of Automated Social Media Actors
D. Assenmacher, L. Clever, L. Frischlich, T. Quandt, H. Trautmann, C. Grimme, Social Media + Society 6 (2020) 2056305120939264.
LibreCat | DOI
 
[94]
2020 | Conference Paper | LibreCat-ID: 46332
Multiobjectivization of Local Search: Single-Objective Optimization Benefits From Multi-Objective Gradient Descent
V. Steinhoff, P. Kerschke, P. Aspar, H. Trautmann, C. Grimme, in: Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI), Canberra, Australia, 2020, pp. 2445–2452.
LibreCat | DOI
 
[93]
2020 | Conference Paper | LibreCat-ID: 46331
Enhancing Resilience of Deep Learning Networks By Means of Transferable Adversaries
M. Seiler, H. Trautmann, P. Kerschke, in: Proceedings of the International Joint Conference on Neural Networks (IJCNN), Glasgow, UK, 2020, pp. 1–8.
LibreCat | DOI
 
[92]
2020 | Conference Paper | LibreCat-ID: 46330
Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem
M. Seiler, J. Pohl, J. Bossek, P. Kerschke, H. Trautmann, in: T. Bäck, M. Preuss, A. Deutz, H. Wang, C. Doerr, M. Emmerich, H. Trautmann (Eds.), Proceedings of the 16$^th$ International Conference on Parallel Problem Solving from Nature (PPSN XVI), Leiden, The Netherlands, 2020, pp. 48–64.
LibreCat | DOI
 
[91]
2020 | Journal Article | LibreCat-ID: 46334 LibreCat | DOI
 
[90]
2020 | Conference Paper | LibreCat-ID: 46322
Towards Decision Support in Dynamic Bi-Objective Vehicle Routing
J. Bossek, C. Grimme, G. Rudolph, H. Trautmann, in: Proceedings of the IEEE Congress on Evolutionary Computation (CEC), Glasgow, UK, 2020, pp. 1–8.
LibreCat | DOI
 
[89]
2020 | Conference Paper | LibreCat-ID: 46324
Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection
J. Bossek, P. Kerschke, H. Trautmann, in: Proceedings of the IEEE Congress on Evolutionary Computation (CEC), IEEE, Glasgow, UK, 2020, pp. 1–8.
LibreCat
 
[88]
2020 | Conference Paper | LibreCat-ID: 46323
Dynamic Bi-Objective Routing of Multiple Vehicles
J. Bossek, C. Grimme, H. Trautmann, in: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO ’20), ACM, Cancun, Mexico, 2020, pp. 166–174.
LibreCat
 
[87]
2019 | Conference Paper | LibreCat-ID: 46343
Multimodality in Multi-Objective Optimization — More Boon than Bane?
C. Grimme, P. Kerschke, H. Trautmann, in: K. Deb, E. Goodman, C.C.A. Coello, K. Klamroth, K. Miettinen, S. Mostaghim, P. Reed (Eds.), Proceedings of the 10$^th$ International Conference on Evolutionary Multi-Criterion Optimization (EMO), Springer, East Lansing, MI, USA, 2019, pp. 126–138.
LibreCat | DOI
 
[86]
2019 | Journal Article | LibreCat-ID: 46345
Automated Algorithm Selection: Survey and Perspectives
P. Kerschke, H.H. Hoos, F. Neumann, H. Trautmann, Evolutionary Computation (ECJ) 27 (2019) 3–45.
LibreCat | DOI
 
[85]
2019 | Journal Article | LibreCat-ID: 46344
Optimizing Data Stream Representation: An Extensive Survey on Stream Clustering Algorithms
M. Carnein, H. Trautmann, Business and Information Systems Engineering (BISE) 61 (2019) 277–297.
LibreCat
 
[84]
2019 | Conference Paper | LibreCat-ID: 46340
A Recommender System Based on Omni-Channel Customer Data
M. Carnein, L. Homann, H. Trautmann, G. Vossen, in: Proceedings of the 21$^st$ IEEE Conference on Business Informatics (CBI’ 19), Moscow, Russia, 2019, pp. 65–74.
LibreCat
 
[83]
2019 | Conference Paper | LibreCat-ID: 46341
Customer Segmentation Based on Transactional Data Using Stream Clustering
M. Carnein, H. Trautmann, in: Proceedings of the 23$^rd$ Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD ’19), Macau, China, 2019, pp. 280–292.
LibreCat
 
[82]
2019 | Conference Paper | LibreCat-ID: 46342
Sliding to the Global Optimum: How to Benefit from Non-Global Optima in Multimodal Multi-Objective Optimization
C. Grimme, P. Kerschke, M.T.M. Emmerich, M. Preuss, A.H. Deutz, H. Trautmann, in: AIP Conference Proceedings, AIP Publishing, Leiden, The Netherlands, 2019, pp. 020052-1-020052–4.
LibreCat | DOI
 
[81]
2019 | Book Chapter | LibreCat-ID: 46336
Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-package flacco
P. Kerschke, H. Trautmann, in: N. Bauer, K. Ickstadt, K. Lübke, G. Szepannek, H. Trautmann, M. Vichi (Eds.), Applications in Statistical Computing, Springer, 2019, pp. 93–123.
LibreCat | DOI
 
[80]
2019 | Book | LibreCat-ID: 46335
Applications in Statistical Computing — From Music Data Analysis to Industrial Quality Improvement
H. Trautmann, Applications in Statistical Computing — From Music Data Analysis to Industrial Quality Improvement, Springer International Publishing, 2019.
LibreCat
 
[79]
2019 | Journal Article | LibreCat-ID: 46346 LibreCat | DOI
 
[78]
2019 | Journal Article | LibreCat-ID: 46347
Search Dynamics on Multimodal Multi-Objective Problems
P. Kerschke, H. Wang, M. Preuss, C. Grimme, A. Deutz, H. Trautmann, M. Emmerich, Evolutionary Computation (ECJ) 27 (2019) 577–609.
LibreCat | DOI
 
[77]
2019 | Conference Paper | LibreCat-ID: 46339
Evolving Diverse TSP Instances by Means of Novel and Creative Mutation Operators
J. Bossek, P. Kerschke, A. Neumann, M. Wagner, F. Neumann, H. Trautmann, in: T. Friedrich, C. Doerr, D. Arnold (Eds.), Proceedings of the 15$^th$ ACM/SIGEVO Workshop on Foundations of Genetic Algorithms (FOGA XV), Potsdam, Germany, 2019, pp. 58–71.
LibreCat | DOI
 
[76]
2019 | Conference Paper | LibreCat-ID: 46338
Bi-Objective Orienteering: Towards a Dynamic Multi-Objective Evolutionary Algorithm
J. Bossek, C. Grimme, S. Meisel, G. Rudolph, H. Trautmann, in: K. Deb, E. Goodman, C.C.A. Coello, K. Klamroth, K. Miettinen, S. Mostaghim, P. Reed (Eds.), Evolutionary Multi-Criterion Optimization (EMO), Springer International Publishing, East Lansing, Michigan, USA, 2019, pp. 516–528.
LibreCat | DOI
 
[75]
2019 | Conference Paper | LibreCat-ID: 46337
Multi-Objective Performance Measurement: Alternatives to PAR10 and Expected Running Time
J. Bossek, H. Trautmann, in: R. Battiti, M. Brunato, I. Kotsireas, P. Pardalos (Eds.), Learning and Intelligent Optimization, Springer, Cham, 2019, pp. 215–219.
LibreCat
 
[74]
2018 | Conference Paper | LibreCat-ID: 46350
Accurate WiFi based indoor positioning with continuous location sampling
J.E. van Engelen, J.J. van Lier, F.W. Takes, H. Trautmann, in: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (ECML/PKDD), Springer, Dublin, Ireland, 2018, pp. 524–540.
LibreCat
 
[73]
2018 | Journal Article | LibreCat-ID: 46351
evoStream — Evolutionary Stream Clustering Utilizing Idle Times
M. Carnein, H. Trautmann, Big Data Research 14 (2018) 101–111.
LibreCat | DOI
 
[72]
2018 | Journal Article | LibreCat-ID: 46353
Multiobjective evolutionary algorithms based on target region preferences
L. Li, Y. Wang, H. Trautmann, N. Jing, M. Emmerich, Swarm and Evolutionary Computation 40 (2018) 196–215.
LibreCat | DOI
 
[71]
2018 | Conference Paper | LibreCat-ID: 46348
Local Search Effects in Bi-Objective Orienteering
J. Bossek, C. Grimme, S. Meisel, G. Rudolph, H. Trautmann, in: Proceedings of the Genetic and Evolutionary Computation Conference, ACM, New York, NY, USA, 2018, pp. 585–592.
LibreCat | DOI
 
[70]
2018 | Journal Article | LibreCat-ID: 46352
Leveraging TSP Solver Complementarity through Machine Learning
P. Kerschke, L. Kotthoff, J. Bossek, H.H. Hoos, H. Trautmann, Evolutionary Computation (ECJ) 26 (2018) 597–620.
LibreCat | DOI
 
[69]
2018 | Conference Paper | LibreCat-ID: 46349
Parameterization of State-of-the-Art Performance Indicators: A Robustness Study Based on Inexact TSP Solvers
P. Kerschke, J. Bossek, H. Trautmann, in: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO ’18) Companion, Kyoto, Japan, 2018, pp. 1737–1744.
LibreCat | DOI
 
[68]
2017 | Book Chapter | LibreCat-ID: 46355
The Directed Search Method for Unconstrained Parameter Dependent Multi-objective Optimization Problems
S.H.V. Adrián, A. Lara, H. Trautmann, G. Rudolph, O. Schütze, in: O. Schütze, L. Trujillo, P. Legrand, Y. Maldonado (Eds.), NEO 15, Springer International Publishing, Cham, 2017, pp. 281–330.
LibreCat | DOI
 
[67]
2017 | Conference Paper | LibreCat-ID: 46360
Towards Efficient and Informative Omni-Channel Customer Relationship Management
M. Carnein, M. Heuchert, L. Homann, H. Trautmann, G. Vossen, J. Becker, K. Kraume, in: S. de Cesare, F. Ulrich (Eds.), Proceedings of the 36$^th$ International Conference on Conceptual Modeling (ER’17), Springer International Publishing, Valencia, Spain, 2017, pp. 69–78.
LibreCat | DOI
 
[66]
2017 | Conference Paper | LibreCat-ID: 46361
Customer Service in Social Media — An Empirical Study of the Airline Industry
M. Carnein, L. Homann, H. Trautmann, G. Vossen, K. Kraume, in: N. Ritter, H. Schwarz, M. Klettke, A. Thor, O. Kopp, M.W. Bernhard (Eds.), Proceedings of the 17$^th$ Conference on Database Systems for Business, Technology, and Web (BTW ’17), Gesellschaft für Informatik, Stuttgart, Germany, 2017, pp. 33–40.
LibreCat
 
[65]
2017 | Book Chapter | LibreCat-ID: 46356
Building and Using an Ontology of Preference-Based Multiobjective Evolutionary Algorithms
L. Li, I. Yevseyeva, V. Basto-Fernandes, H. Trautmann, N. Jing, M. Emmerich, in: H. Trautmann, G. Rudolph, K. Klamroth, O. Schütze, M. Wiecek, Y. Jin, C. Grimme (Eds.), Evolutionary Multi-Criterion Optimization: 9$^th$ International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings, Springer International Publishing, Cham, 2017, pp. 406–421.
LibreCat | DOI
 
[64]
2017 | Book Chapter | LibreCat-ID: 46357
Multi-objective Optimization for Liner Shipping Fleet Repositioning
K. Tierney, J. Handali, C. Grimme, H. Trautmann, in: H. Trautmann, G. Rudolph, K. Klamroth, O. Schütze, M. Wiecek, Y. Jin, C. Grimme (Eds.), Evolutionary Multi-Criterion Optimization: 9$^th$ International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings, Springer International Publishing, Cham, 2017, pp. 622–638.
LibreCat | DOI
 
[63]
2017 | Conference Paper | LibreCat-ID: 46359
Stream Clustering of Chat Messages with Applications to Twitch Streams
M. Carnein, D. Assenmacher, H. Trautmann, in: S. de Cesare, F. Ulrich (Eds.), Proceedings of the 36$^th$ International Conference on Conceptual Modeling (ER’17), Springer International Publishing, Valencia, Spain, 2017, pp. 79–88.
LibreCat | DOI
 
[62]
2017 | Journal Article | LibreCat-ID: 46362
Social Bots: Human-Like by Means of Human Control?
C. Grimme, M. Preuss, L. Adam, H. Trautmann, Big Data 5 (2017) 279–293.
LibreCat | DOI
 
[61]
2017 | Conference Paper | LibreCat-ID: 46358
An Empirical Comparison of Stream Clustering Algorithms
M. Carnein, D. Assenmacher, H. Trautmann, in: Proceedings of the ACM International Conference on Computing Frontiers (CF ’17), Siena, Italy, 2017, pp. 361–365.
LibreCat | DOI
 
[60]
2016 | Conference Paper | LibreCat-ID: 46364
MO-ParamILS: A Multi-objective Automatic Algorithm Configuration Framework
A. Blot, H. Hoos, L. Jourdan, M. Marmion, H. Trautmann, in: V. et al. Joaquin (Ed.), LION 2016: Learning and Intelligent Optimization, Springer International Publishing, Cham, 2016, pp. 32–47.
LibreCat | DOI
 
[59]
2016 | Book Chapter | LibreCat-ID: 46363
On the Closest Averaged Hausdorff Archive for a Circularly Convex Pareto Front
G. Rudolph, O. Schütze, H. Trautmann, in: G. Squillero, P. Burelli (Eds.), Applications of Evolutionary Computation: 19$^th$ European Conference, EvoApplications 2016, Porto, Portugal, March 30 — April 1, 2016, Proceedings, Part II, Springer International Publishing, Cham, 2016, pp. 42–55.
LibreCat | DOI
 
[58]
2016 | Conference Paper | LibreCat-ID: 46369
Towards Analyzing Multimodality of Multiobjective Landscapes
P. Kerschke, H. Wang, M. Preuss, C. Grimme, A. Deutz, H. Trautmann, M. Emmerich, in: Proceedings of the 14$^th$ International Conference on Parallel Problem Solving from Nature (PPSN XIV), Springer, Edinburgh, Scotland, 2016, pp. 962–972.
LibreCat | DOI
 
[57]
2016 | Conference Paper | LibreCat-ID: 46367
Low-Budget Exploratory Landscape Analysis on Multiple Peaks Models
P. Kerschke, M. Preuss, S. Wessing, H. Trautmann, in: Proceedings of the 18$^th$ Annual Conference on Genetic and Evolutionary Computation, Denver, CO, USA, 2016, pp. 229–236.
LibreCat | DOI
 
[56]
2016 | Journal Article | LibreCat-ID: 46371
Optimal averaged Hausdorff archives for bi-objective problems: theoretical and numerical results
G. Rudolph, O. Schütze, C. Grimme, C. Domínguez-Medina, H. Trautmann, Computational Optimization and Applications (Comput. Optim. Appl.) 64 (2016) 589–618.
LibreCat | DOI
 
[55]
2016 | Journal Article | LibreCat-ID: 46372
The Hypervolume based Directed Search Method for Multi-Objective Optimization Problems
O. Schütze, H.V. Sosa, H. Trautmann, G. Rudolph, Journal of Heuristics 22 (2016) 273–300.
LibreCat | DOI
 
[54]
2016 | Conference Paper | LibreCat-ID: 46368
The R-Package FLACCO for Exploratory Landscape Analysis with Applications to Multi-Objective Optimization Problems
P. Kerschke, H. Trautmann, in: Proceedings of the IEEE Congress on Evolutionary Computation (CEC), Vancouver, BC, Kanada, 2016.
LibreCat | DOI
 
 
[52]
2016 | Conference Paper | LibreCat-ID: 46365
Evolving Instances for Maximizing Performance Differences of State-of-The-Art Inexact TSP Solvers
J. Bossek, H. Trautmann, in: P. Festa, M. Sellmann, J. Vanschoren (Eds.), Learning and Intelligent Optimization, Springer International Publishing, Ischia, Italy, 2016, pp. 48–59.
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[51]
2016 | Conference Paper | LibreCat-ID: 46366
Understanding Characteristics of Evolved Instances for State-of-the-Art Inexact TSP Solvers with Maximum Performance Difference
J. Bossek, H. Trautmann, in: G. Adorni, S. Cagnoni, M. Gori, M. Maratea (Eds.), AI*IA 2016 Advances in Artificial Intelligence, Springer, Cham, 2016, pp. 3–12.
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[50]
2015 | Conference Paper | LibreCat-ID: 46373
An Overview of Topic Discovery in Twitter Communication through Social Media Analytics
A. Chinnov, P. Kerschke, C. Meske, S. Stieglitz, H. Trautmann, in: Proceedings of the 20$^th$ Americas Conference on Information Systems (AMCIS ’15), Puerto Rico, 2015, pp. 1–10.
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[49]
2015 | Conference Paper | LibreCat-ID: 46375
Detecting Funnel Structures by Means of Exploratory Landscape Analysis
P. Kerschke, M. Preuss, S. Wessing, H. Trautmann, in: S. Silva (Ed.), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO ’15), ACM, New York, NY, USA, 2015, pp. 265–272.
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[48]
2015 | Conference Paper | LibreCat-ID: 46376
Improving the State of the Art in Inexact TSP Solving Using Per-Instance Algorithm Selection
L. Kotthoff, P. Kerschke, H. Hoos, H. Trautmann, in: C. Dhaenens, L. Jourdan, M.-E. Marmion (Eds.), Learning and Intelligent Optimization, Springer International Publishing, Cham, 2015, pp. 202–217.
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[47]
2015 | Journal Article | LibreCat-ID: 46379
R2 Indicator Based Multiobjective Search
D. Brockhoff, T. Wagner, H. Trautmann, Evolutionary Computation Journal 23 (2015) 369–395.
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[46]
2015 | Conference Paper | LibreCat-ID: 46374
Multi-Objective Analysis of Approaches to Dynamic Routing Of a Vehicle
C. Grimme, S. Meisel, H. Trautmann, G. Rudolph, M. Wölck, in: Proceedings of the European Conference On Information Systems, Münster, Germany, 2015.
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[45]
2015 | Journal Article | LibreCat-ID: 46380
Analyzing the BBOB Results by Means of Benchmarking Concepts
O. Mersmann, M. Preuss, H. Trautmann, B. Bischl, C. Weihs, Evolutionary Computation Journal 23 (2015) 161–185.
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[44]
2015 | Conference Paper | LibreCat-ID: 46377
Evaluation of a Multi-Objective EA on Benchmark Instances for Dynamic Routing of a Vehicle
S. Meisel, C. Grimme, J. Bossek, M. Wölck, G. Rudolph, H. Trautmann, in: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO ’15), Madrid, Spain, 2015, pp. 425–432.
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[43]
2014 | Book Chapter | LibreCat-ID: 46381
Cell Mapping Techniques for Exploratory Landscape Analysis
P. Kerschke, M. Preuss, C. Hernández, O. Schütze, J.-Q. Sun, C. Grimme, G. Rudolph, B. Bischl, H. Trautmann, in: A.-A. Tantar, E. Tantar, J.-Q. Sun, W. Zhang, Q. Ding, O. Schütze, M.T.M. Emmerich, P. Legrand, M.P. Del, C.C.A. Coello (Eds.), EVOLVE — A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V, Springer International Publishing, Cham, 2014, pp. 115–131.
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[42]
2014 | Book Chapter | LibreCat-ID: 46382
A Multiobjective Evolutionary Algorithm Guided by Averaged Hausdorff Distance to Aspiration Sets
G. Rudolph, O. Schütze, C. Grimme, H. Trautmann, in: A. Tantar, E. Tantar, J. Sun, W. Zhang, Q. Ding, O. Schütze, M. Emmerich, P. Legrand, M.P. Del, C.C. Coello (Eds.), EVOLVE — A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V, Springer International Publishing, 2014, pp. 261–273.
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[41]
2014 | Conference Paper | LibreCat-ID: 46383
An Aspiration Set EMOA Based on Averaged Hausdorff Distances
G. Rudolph, C. Grimme, O. Schütze, H. Trautmann, in: Proceedings of the Learning and Intelligent OptimizatioN Conference (LION 8), Springer, Gainesville, Florida, USA, 2014, pp. 153–156.
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[40]
2014 | Conference Paper | LibreCat-ID: 46384
Stopping Criteria for Multimodal Optimization
S. Wessing, M. Preuss, H. Trautmann, in: T. Bartz-Beielstein, J. Branke, B. Filipic, J. Smith (Eds.), Proceedings of the Parallel Problem Solving from Nature — PPSN XIII, Springer, Ljubljana, Slovenia, 2014, pp. 141–150.
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[39]
2013 | Book Chapter | LibreCat-ID: 46385
The Directed Search Method for Pareto Front Approximations with Maximum Dominated Hypervolume
H.V. Sosa, O. Schütze, G. Rudolph, H. Trautmann, in: M. Emmerich, A. Deutz, O. Schuetze, T. Bäck, A. Tantar, P. Moral, P. Legrand, P. Bouvry, C. Coello (Eds.), EVOLVE — A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation IV, Springer International Publishing, 2013, pp. 189–205.
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[38]
2013 | Book Chapter | LibreCat-ID: 46386
Finding Evenly Spaced Pareto Fronts for Three-Objective Optimization Problems
H. Trautmann, G. Rudolph, C. Dominguez-Medina, O. Schütze, in: O. Schütze, C.C. Coello, A. Tantar, E. Tantar, P. Bouvry, M.P. Del, P. Legrand (Eds.), EVOLVE — A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II, Springer Berlin Heidelberg, 2013, pp. 89–105.
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[37]
2013 | Conference Paper | LibreCat-ID: 46388
A Feature-Based Comparison of Local Search and the Christofides Algorithm for the Travelling Salesperson Problem
S. Nallaperuma, M. Wagner, F. Neumann, B. Bischl, O. Mersmann, H. Trautmann, in: Proceedings of the Twelfth Workshop on Foundations of Genetic Algorithms XII, Association for Computing Machinery, New York, NY, USA, 2013, pp. 147–160.
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[36]
2013 | Conference Paper | LibreCat-ID: 46390
Evenly Spaced Pareto Front Approximations for Tricriteria Problems Based on Triangulation
G. Rudolph, H. Trautmann, S. Sengupta, O. Schütze, in: R. Purshouse, P. Fleming, C. Fonseca, S. Greco, J. Shaw (Eds.), Evolutionary Multi-Criterion Optimization — 7$^th$ International Conference, EMO 2013, Sheffield, UK, Proceedings, Springer, 2013, pp. 443–458.
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[35]
2013 | Conference Paper | LibreCat-ID: 46391
Directed Search Method for Indicator-based Multi-objective Evolutionary Algorithms
V. Sosa-Hernandez, O. Schütze, G. Rudoph, H. Trautmann, in: Proceeding of the Fifteenth Annual Conference Companion on Genetic and Evolutionary Computation Conference Companion, ACM, New York, NY, USA, 2013, pp. 1699–1702.
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[34]
2013 | Conference Paper | LibreCat-ID: 46387
Evenly spaced Pareto fronts of quad-objective problems using PSA partitioning technique
C. Dominguez-Medina, G. Rudolph, O. Schütze, H. Trautmann, in: Proceedings of the 2013 IEEE Congress on Evolutionary Computation (CEC), Cancun, Mexico, 2013, pp. 3190–3197.
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[33]
2013 | Conference Paper | LibreCat-ID: 46389
Reactive strategy choice in StarCraft by means of Fuzzy Control
M. Preuss, D. Kozakowski, J. Hagelbäck, H. Trautmann, in: 2013 IEEE Conference on Computational Inteligence in Games (CIG), 2013, pp. 1–8.
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[32]
2013 | Journal Article | LibreCat-ID: 46395
Indicator-based Selection in Evolutionary Multiobjective Optimization Algorithms Based On the Desirability Index
H. Trautmann, T. Wagner, D. Biermann, C. Weihs, Journal of Multi-Criteria Decision Analysis 20 (2013) 319–337.
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[31]
2013 | Conference Paper | LibreCat-ID: 46393
Preference Articulation by Means of the R2 Indicator
T. Wagner, H. Trautmann, D. Brockhoff, in: R.C. Purshouse, P.J. Fleming, C.M. Fonseca, S. Greco, J. Shaw (Eds.), Evolutionary Multi-Criterion Optimization, Springer Berlin Heidelberg, Berlin, Heidelberg, 2013, pp. 81–95.
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[30]
2013 | Conference Paper | LibreCat-ID: 46392
R2-EMOA: Focused Multiobjective Search Using R2-Indicator-Based Selection
H. Trautmann, T. Wagner, D. Brockhoff, in: G. Nicosia, P. Pardalos (Eds.), Learning and Intelligent Optimization, Springer Berlin Heidelberg, Berlin, Heidelberg, 2013, pp. 70–74.
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[29]
2013 | Journal Article | LibreCat-ID: 46394
A Novel Feature-Based Approach to Characterize Algorithm Performance for the Traveling Salesman Problem
O. Mersmann, B. Bischl, H. Trautmann, M. Wagner, J. Bossek, F. Neumann, Annals of Mathematics and Artificial Intelligence 69 (2013) 151–182.
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[28]
2012 | Conference Paper | LibreCat-ID: 46397
On the Properties of the R2 Indicator
D. Brockhoff, T. Wagner, H. Trautmann, in: Proceedings of the 14th Annual Conference on Genetic and Evolutionary Computation, Association for Computing Machinery, New York, NY, USA, 2012, pp. 465–472.
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[27]
2012 | Conference Paper | LibreCat-ID: 46396
Algorithm Selection Based on Exploratory Landscape Analysis and Cost-Sensitive Learning
B. Bischl, O. Mersmann, H. Trautmann, M. Preuß, in: Proceedings of the 14th Annual Conference on Genetic and Evolutionary Computation, Association for Computing Machinery, New York, NY, USA, 2012, pp. 313–320.
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[26]
2012 | Journal Article | LibreCat-ID: 46399
Resampling Methods in Model Validation
B. Bischl, O. Mersmann, H. Trautmann, C. Weihs, Evolutionary Computation Journal 20 (2012) 249–275.
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[25]
2012 | Journal Article | LibreCat-ID: 46400
Homogene Approximation der Paretofront bei mehrkriteriellen Kontrollproblemen
G. Rudolph, H. Trautmann, O. Schütze, At-Automatisierungstechnik 60 (2012) 610–621.
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[24]
2012 | Conference Paper | LibreCat-ID: 46398
Local Search and the Traveling Salesman Problem: A Feature-Based Characterization of Problem Hardness
O. Mersmann, B. Bischl, J. Bossek, H. Trautmann, M. Wagner, F. Neumann, in: Y. Hamadi, M. Schoenauer (Eds.), Learning and Intelligent Optimization, Springer Berlin Heidelberg, Berlin, Heidelberg, 2012, pp. 115–129.
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[23]
2011 | Conference Paper | LibreCat-ID: 46401
Exploratory Landscape Analysis
O. Mersmann, B. Bischl, H. Trautmann, M. Preuss, C. Weihs, G. Rudolph, in: Proceedings of the 13th Annual Conference on Genetic and Evolutionary Computation, Association for Computing Machinery, New York, NY, USA, 2011, pp. 829–836.
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[22]
2011 | Conference Paper | LibreCat-ID: 46402
A Taxonomy of Online Stopping Criteria for Multi-Objective Evolutionary Algorithms
T. Wagner, H. Trautmann, L. Martí, in: R.H.C. Takahashi, K. Deb, E.F. Wanner, S. Greco (Eds.), Evolutionary Multi-Criterion Optimization, Springer Berlin Heidelberg, Berlin, Heidelberg, 2011, pp. 16–30.
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[21]
2011 | Journal Article | LibreCat-ID: 46403
Advanced concepts for multi-objective evolutionary optimization in aircraft industry
B. Naujoks, H. Trautmann, S. Wessing, C. Weihs, Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 225 (2011) 1081–1096.
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[20]
2010 | Conference Paper | LibreCat-ID: 46408
Preference-Based Multi-Objective Particle Swarm Optimization Using Desirabilities
S. Mostaghim, H. Trautmann, O. Mersmann, in: R. Schaefer, C. Cotta, J. Kołodziej, G. Rudolph (Eds.), Parallel Problem Solving from Nature, PPSN XI, Springer Berlin Heidelberg, Berlin, Heidelberg, 2010, pp. 101–110.
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[19]
2010 | Conference Paper | LibreCat-ID: 46405
Benchmarking Evolutionary Algorithms: Towards Exploratory Landscape Analysis
O. Mersmann, M. Preuss, H. Trautmann, in: Proceedings of the 11th International Conference on Parallel Problem Solving from Nature: Part I, Springer-Verlag, Berlin, Heidelberg, 2010, pp. 73–82.
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[18]
2010 | Conference Paper | LibreCat-ID: 46406
On the Distribution of EMOA Hypervolumes
O. Mersmann, H. Trautmann, B. Naujoks, C. Weihs, in: C. Blum, R. Battiti (Eds.), Learning and Intelligent Optimization, 4$^th$ International Conference, LION 4, Venice, Italy, Springer, 2010, pp. 333–337.
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[17]
2010 | Conference Paper | LibreCat-ID: 46407
Benchmarking evolutionary multiobjective optimization algorithms
O. Mersmann, H. Trautmann, B. Naujoks, C. Weihs, in: IEEE Congress on Evolutionary Computation, 2010, pp. 1–8.
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[16]
2010 | Conference Paper | LibreCat-ID: 46404
Sequential Parameter Optimisation for Multi-Objective Evolutionary Optimisation of Additive Layer Manufacturing
J. Ding, S. Wessing, H. Trautmann, J. Mehnen, B. Naujoks, in: R. Teti (Ed.), Proceedings of the 7$^th$ CIRP International Seminar on Intelligent Computation in Manufacturing Engineering (CIRP ICME ’10), Copyright C.O.C. Com. org. Conv., Capri, Italy, 2010.
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[15]
2010 | Conference Paper | LibreCat-ID: 46409
New Uncertainty Handling Strategies in Multi-objective Evolutionary Optimization
T. Voß, H. Trautmann, C. Igel, in: R. Schaefer, C. Cotta, J. Kołodziej, G. Rudolph (Eds.), Parallel Problem Solving from Nature, PPSN XI, Springer Berlin Heidelberg, Berlin, Heidelberg, 2010, pp. 260–269.
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[14]
2010 | Journal Article | LibreCat-ID: 46412
Integration of Preferences in Hypervolume-Based Multiobjective Evolutionary Algorithms by Means of Desirability Functions
T. Wagner, H. Trautmann, IEEE Transactions on Evolutionary Computation 14 (2010) 688–701.
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[13]
2010 | Journal Article | LibreCat-ID: 46411
Work roll cooling system design optimisation in presence of uncertainty and constrains
Y.T. Azene, R. Roy, D. Farrugia, C. Onisa, J. Mehnen, H. Trautmann, CIRP Journal of Manufacturing Science and Technology 2 (2010) 290–298.
LibreCat | DOI
 
[12]
2010 | Conference Paper | LibreCat-ID: 46410
Online convergence detection for evolutionary multi-objective algorithms revisited
T. Wagner, H. Trautmann, in: IEEE Congress on Evolutionary Computation, 2010, pp. 1–8.
LibreCat | DOI
 
[11]
2009 | Conference Paper | LibreCat-ID: 46414
OCD: Online Convergence Detection for Evolutionary Multi-Objective Algorithms Based on Statistical Testing
T. Wagner, H. Trautmann, B. Naujoks, in: M. Ehrgott, C.M. Fonseca, X. Gandibleux, J.-K. Hao, M. Sevaux (Eds.), Evolutionary Multi-Criterion Optimization, Springer Berlin Heidelberg, Berlin, Heidelberg, 2009, pp. 198–215.
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[10]
2009 | Conference Paper | LibreCat-ID: 46415
Pareto-dominance in noisy environments
H. Trautmann, J. Mehnen, B. Naujoks, in: 2009 IEEE Congress on Evolutionary Computation, 2009, pp. 3119–3126.
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[9]
2009 | Conference Paper | LibreCat-ID: 46413
Online convergence detection for multiobjective aerodynamic applications
B. Naujoks, H. Trautmann, in: 2009 IEEE Congress on Evolutionary Computation, 2009, pp. 332–339.
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[8]
2009 | Journal Article | LibreCat-ID: 46416
Statistical Methods for Improving Multi-objective Evolutionary Optimisation
H. Trautmann, J. Mehnen, International Journal of Computational Intelligence Research 5 (2009) 72–78.
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[7]
2009 | Journal Article | LibreCat-ID: 46417
Preference-based Pareto optimization in certain and noisy environments
H. Trautmann, J. Mehnen, Engineering Optimization 41 (2009) 23–38.
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[6]
2009 | Journal Article | LibreCat-ID: 46418
Statistical Methods for Convergence Detection of Multi-Objective Evolutionary Algorithms
H. Trautmann, T. Wagner, B. Naujoks, M. Preuss, J. Mehnen, Evolutionary Computation 17 (2009) 493–509.
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[5]
2008 | Conference Paper | LibreCat-ID: 46419
Robust Multi-objective Optimisation of Weld Bead Geometry for Additive Manufacturing
J. Mehnen, H. Trautmann, in: R. Teti (Ed.), Proceedings of the 6$^th$ CIRP International Seminar on Intelligent Computation in Manufacturing Engineering (CIRP ICME ’08), Copyright C.O.C. Com. org. Conv., Naples, Italy, 2008.
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[4]
2008 | Conference Paper | LibreCat-ID: 46420
A Convergence Criterion for Multiobjective Evolutionary Algorithms Based on Systematic Statistical Testing
H. Trautmann, U. Ligges, J. Mehnen, M. Preuss, in: G. Rudolph, T. Jansen, N. Beume, S. Lucas, C. Poloni (Eds.), Parallel Problem Solving from Nature – PPSN X, Springer Berlin Heidelberg, Berlin, Heidelberg, 2008, pp. 825–836.
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[3]
2007 | Conference Paper | LibreCat-ID: 46421
Introducing user preference using Desirability Functions in Multi-Objective Evolutionary Optimisation of noisy processes
J. Mehnen, H. Trautmann, A. Tiwari, in: 2007 IEEE Congress on Evolutionary Computation, 2007, pp. 2687–2694.
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[2]
2006 | Journal Article | LibreCat-ID: 46423 LibreCat | DOI
 
[1]
2006 | Conference Paper | LibreCat-ID: 46422
Integration of Expert’s Preferences in Pareto Optimization by Desirability Function Techniques
J. Mehnen, H. Trautmann, in: R. Teti (Ed.), CIRP ICME ’06) — Proceedings of the 5$^th$ CIRP International Seminar on Intelligent Computation in Manufacturing Engineering, C.O.C. Com. org. Conv. CIRP ICME ’06, Ischia, Italy, 2006, pp. 293–298.
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