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197 Publications
2021 | Journal Article | LibreCat-ID: 46318
Grimme, Christian, et al. “Peeking beyond Peaks: Challenges and Research Potentials of Continuous Multimodal Multi-Objective Optimization.” Computers & Operations Research, vol. 136, 2021, p. 105489, doi:https://doi.org/10.1016/j.cor.2021.105489.
LibreCat
| DOI
2021 | Conference Paper | LibreCat-ID: 46311
Aspar, Pelin, et al. “Multi^3: Optimizing Multimodal Single-Objective Continuous Problems in the Multi-Objective Space by Means of Multiobjectivization.” Evolutionary Multi-Criterion Optimization: 11$^th$ International Conference, EMO 2021, Shenzhen, China, March 28–31, 2021, Proceedings, edited by H. et al. Ishibuchi, Springer, 2021, pp. 311–322, doi:10.1007/978-3-030-72062-9_25.
LibreCat
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2021 | Journal Article | LibreCat-ID: 46317
Coombs, Crispin, et al. “What Is It About Humanity That We Can’t Give Away To Intelligent Machines? A European Perspective.” International Journal of Information Management, vol. 58, 2021, doi:10.1016/j.ijinfomgt.2021.102311.
LibreCat
| DOI
2021 | Conference Paper | LibreCat-ID: 48853
Bossek, Jakob, et al. “Breeding Diverse Packings for the Knapsack Problem by Means of Diversity-Tailored Evolutionary Algorithms.” Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, 2021, pp. 556–564, doi:10.1145/3449639.3459364.
LibreCat
| DOI
2021 | Conference Paper | LibreCat-ID: 48855
Bossek, Jakob, et al. “Exact Counting And~Sampling of Optima for the Knapsack Problem.” Learning and Intelligent Optimization, Springer-Verlag, 2021, pp. 40–54, doi:10.1007/978-3-030-92121-7_4.
LibreCat
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2021 | Conference Paper | LibreCat-ID: 48860
Bossek, Jakob, and Frank Neumann. “Evolutionary Diversity Optimization and the Minimum Spanning Tree Problem.” Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, 2021, pp. 198–206, doi:10.1145/3449639.3459363.
LibreCat
| DOI
2021 | Book Chapter | LibreCat-ID: 48862
Bossek, Jakob, and Dirk Sudholt. “Do Additional Optima Speed up Evolutionary Algorithms?” Proceedings of the 16th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, Association for Computing Machinery, 2021, pp. 1–11.
LibreCat
2021 | Book Chapter | LibreCat-ID: 48881
Heins, Jonathan, et al. “On the Potential of Normalized TSP Features for Automated Algorithm Selection.” Proceedings of the 16th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, Association for Computing Machinery, 2021, pp. 1–15.
LibreCat
2021 | Conference Paper | LibreCat-ID: 48876
Bossek, Jakob, and Markus Wagner. “Generating Instances with Performance Differences for More than Just Two Algorithms.” Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery, 2021, pp. 1423–1432, doi:10.1145/3449726.3463165.
LibreCat
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2021 | Conference Paper | LibreCat-ID: 48893
Nikfarjam, Adel, et al. “Entropy-Based Evolutionary Diversity Optimisation for the Traveling Salesperson Problem.” Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, 2021, pp. 600–608, doi:10.1145/3449639.3459384.
LibreCat
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2021 | Conference Paper | LibreCat-ID: 48891
Neumann, Aneta, et al. “Diversifying Greedy Sampling and Evolutionary Diversity Optimisation for Constrained Monotone Submodular Functions.” Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, 2021, pp. 261–269, doi:10.1145/3449639.3459385.
LibreCat
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2021 | Book Chapter | LibreCat-ID: 48892
Nikfarjam, Adel, et al. “Computing Diverse Sets of High Quality TSP Tours by EAX-Based Evolutionary Diversity Optimisation.” Proceedings of the 16th ACM}/SIGEVO Conference on Foundations of Genetic Algorithms, Association for Computing Machinery, 2021, pp. 1–11.
LibreCat
2021 | Journal Article | LibreCat-ID: 48854
Bossek, Jakob, et al. “Time Complexity Analysis of Randomized Search Heuristics for the Dynamic Graph Coloring Problem.” Algorithmica, vol. 83, no. 10, 2021, pp. 3148–3179, doi:10.1007/s00453-021-00838-3.
LibreCat
| DOI
2021 | Conference Paper | LibreCat-ID: 46315
Prager, Raphael Patrick, et al. “Towards Feature-Free Automated Algorithm Selection for Single-Objective Continuous Black-Box Optimization.” 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 2021, pp. 1–8, doi:10.1109/SSCI50451.2021.9660174.
LibreCat
| DOI
2021 | Conference Paper | LibreCat-ID: 46312
Assenmacher, Dennis, et al. “RP-Mod & RP-Crowd: Moderator- and Crowd-Annotated German News Comment Datasets.” Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1 (NeurIPS Datasets and Benchmarks 2021), 2021, pp. 1–14.
LibreCat
2021 | Conference Paper | LibreCat-ID: 46313
Heins, Jonathan, et al. “On the Potential of Normalized TSP Features for Automated Algorithm Selection.” Proceedings of the 16$^th$ ACM/SIGEVO Conference on Foundations of Genetic Algorithms (FOGA XVI), edited by for Computing Machinery Association, Association for Computing Machinery, 2021, pp. 1–15, doi:10.1145/3450218.3477308.
LibreCat
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2020 | Conference Paper | LibreCat-ID: 46319
Assenmacher, D., et al. “Towards Real-Time and Unsupervised Campaign Detection in Social Media.” Proceedings of the Florida Artificial Intelligence Research Society Conference, 2020.
LibreCat
2020 | Conference Paper | LibreCat-ID: 46328
Prager, Raphael Patrick, et al. “Per-Instance Configuration of the Modularized CMA-ES by Means of Classifier Chains and Exploratory Landscape Analysis.” Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI), 2020, pp. 996–1003, doi:10.1109/SSCI47803.2020.9308510.
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 46320
Assenmacher, D., et al. “A Two-Phase Framework for Detecting Manipulation Campaigns in Social Media.” Proceedings of the International Conference on Human-Computer Interaction (HCII 2020): Social Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis, edited by G Meiselwitz, Springer International Publishing, 2020, pp. 201–214, doi:10.1007/978-3-030-49570-1_14.
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 46325
Carnein, Matthias, et al. “Towards Automated Configuration of Stream Clustering Algorithms.” Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD ’19), 2020, pp. 137–143, doi:10.1007/978-3-030-43823-4_12.
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