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197 Publications
2021 | Journal Article | LibreCat-ID: 46318
Grimme C, Kerschke P, Aspar P, et al. Peeking beyond peaks: Challenges and research potentials of continuous multimodal multi-objective optimization. Computers & Operations Research. 2021;136:105489. doi:https://doi.org/10.1016/j.cor.2021.105489
LibreCat
| DOI
2021 | Conference Paper | LibreCat-ID: 46311
Aspar P, Kerschke P, Steinhoff V, Trautmann H, Grimme C. Multi^3: Optimizing Multimodal Single-Objective Continuous Problems in the Multi-Objective Space by Means of Multiobjectivization. In: et al. Ishibuchi H, ed. Evolutionary Multi-Criterion Optimization: 11$^th$ International Conference, EMO 2021, Shenzhen, China, March 28–31, 2021, Proceedings. Springer; 2021:311–322. doi:10.1007/978-3-030-72062-9_25
LibreCat
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2021 | Journal Article | LibreCat-ID: 46317
Coombs C, Stacey P, Kawalek P, et al. What Is It About Humanity That We Can’t Give Away To Intelligent Machines? A European Perspective. International Journal of Information Management. 2021;58. doi:10.1016/j.ijinfomgt.2021.102311
LibreCat
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2021 | Conference Paper | LibreCat-ID: 48853
Bossek J, Neumann A, Neumann F. Breeding Diverse Packings for the Knapsack Problem by Means of Diversity-Tailored Evolutionary Algorithms. In: Proceedings of the Genetic and Evolutionary Computation Conference. GECCO ’21. Association for Computing Machinery; 2021:556–564. doi:10.1145/3449639.3459364
LibreCat
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2021 | Conference Paper | LibreCat-ID: 48855
Bossek J, Neumann A, Neumann F. Exact Counting and~Sampling of Optima for the Knapsack Problem. In: Learning and Intelligent Optimization. Springer-Verlag; 2021:40–54. doi:10.1007/978-3-030-92121-7_4
LibreCat
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2021 | Conference Paper | LibreCat-ID: 48860
Bossek J, Neumann F. Evolutionary Diversity Optimization and the Minimum Spanning Tree Problem. In: Proceedings of the Genetic and Evolutionary Computation Conference. GECCO ’21. Association for Computing Machinery; 2021:198–206. doi:10.1145/3449639.3459363
LibreCat
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2021 | Book Chapter | LibreCat-ID: 48862
Bossek J, Sudholt D. Do Additional Optima Speed up Evolutionary Algorithms? In: Proceedings of the 16th ACM/SIGEVO Conference on Foundations of Genetic Algorithms. Association for Computing Machinery; 2021:1–11.
LibreCat
2021 | Book Chapter | LibreCat-ID: 48881
Heins J, Bossek J, Pohl J, Seiler M, Trautmann H, Kerschke P. On the Potential of Normalized TSP Features for Automated Algorithm Selection. In: Proceedings of the 16th ACM/SIGEVO Conference on Foundations of Genetic Algorithms. Association for Computing Machinery; 2021:1–15.
LibreCat
2021 | Conference Paper | LibreCat-ID: 48876
Bossek J, Wagner M. Generating Instances with Performance Differences for More than Just Two Algorithms. In: Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO’21. Association for Computing Machinery; 2021:1423–1432. doi:10.1145/3449726.3463165
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2021 | Conference Paper | LibreCat-ID: 48893
Nikfarjam A, Bossek J, Neumann A, Neumann F. Entropy-Based Evolutionary Diversity Optimisation for the Traveling Salesperson Problem. In: Proceedings of the Genetic and Evolutionary Computation Conference. GECCO’21. Association for Computing Machinery; 2021:600–608. doi:10.1145/3449639.3459384
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2021 | Conference Paper | LibreCat-ID: 48891
Neumann A, Bossek J, Neumann F. Diversifying Greedy Sampling and Evolutionary Diversity Optimisation for Constrained Monotone Submodular Functions. In: Proceedings of the Genetic and Evolutionary Computation Conference. GECCO’21. Association for Computing Machinery; 2021:261–269. doi:10.1145/3449639.3459385
LibreCat
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2021 | Book Chapter | LibreCat-ID: 48892
Nikfarjam A, Bossek J, Neumann A, Neumann F. Computing Diverse Sets of High Quality TSP Tours by EAX-based Evolutionary Diversity Optimisation. In: Proceedings of the 16th ACM}/SIGEVO Conference on Foundations of Genetic Algorithms. Association for Computing Machinery; 2021:1–11.
LibreCat
2021 | Journal Article | LibreCat-ID: 48854
Bossek J, Neumann F, Peng P, Sudholt D. Time Complexity Analysis of Randomized Search Heuristics for the Dynamic Graph Coloring Problem. Algorithmica. 2021;83(10):3148–3179. doi:10.1007/s00453-021-00838-3
LibreCat
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2021 | Conference Paper | LibreCat-ID: 46315
Prager RP, Seiler M, Trautmann H, Kerschke P. Towards Feature-Free Automated Algorithm Selection for Single-Objective Continuous Black-Box Optimization. In: 2021 IEEE Symposium Series on Computational Intelligence (SSCI). ; 2021:1-8. doi:10.1109/SSCI50451.2021.9660174
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2021 | Conference Paper | LibreCat-ID: 46312
Assenmacher D, Niemann M, Müller K, Seiler M, Riehle DM, Trautmann H. RP-Mod & RP-Crowd: Moderator- and Crowd-Annotated German News Comment Datasets. In: Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1 (NeurIPS Datasets and Benchmarks 2021). ; 2021:1–14.
LibreCat
2021 | Conference Paper | LibreCat-ID: 46313
Heins J, Bossek J, Pohl J, Seiler M, Trautmann H, Kerschke P. On the Potential of Normalized TSP Features for Automated Algorithm Selection. In: Computing Machinery Association for, ed. Proceedings of the 16$^th$ ACM/SIGEVO Conference on Foundations of Genetic Algorithms (FOGA XVI). Association for Computing Machinery; 2021:1–15. doi:10.1145/3450218.3477308
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2020 | Conference Paper | LibreCat-ID: 46319
Assenmacher D, Adam L, Trautmann H, Grimme C. Towards Real-Time and Unsupervised Campaign Detection in Social Media. In: Proceedings of the Florida Artificial Intelligence Research Society Conference. ; 2020.
LibreCat
2020 | Conference Paper | LibreCat-ID: 46328
Prager RP, Trautmann H, Wang H, Bäck THW, Kerschke P. Per-Instance Configuration of the Modularized CMA-ES by Means of Classifier Chains and Exploratory Landscape Analysis. In: Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI). ; 2020:996–1003. doi:10.1109/SSCI47803.2020.9308510
LibreCat
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2020 | Conference Paper | LibreCat-ID: 46320
Assenmacher D, Clever L, Pohl J, Trautmann H, Grimme C. A Two-Phase Framework for Detecting Manipulation Campaigns in Social Media. In: Meiselwitz G, 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; 2020:201–214. doi:10.1007/978-3-030-49570-1_14
LibreCat
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2020 | Conference Paper | LibreCat-ID: 46325
Carnein M, Trautmann H, Bifet A, Pfahringer B. Towards Automated Configuration of Stream Clustering Algorithms. In: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD ’19). ; 2020:137–143. doi:10.1007/978-3-030-43823-4_12
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