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204 Publications
2025 | Journal Article | LibreCat-ID: 59073
Rook, Jeroen G., et al. “MO-SMAC: Multi-Objective Sequential Model-Based Algorithm Configuration.” Evolutionary Computation, 2025, pp. 1–25, doi:10.1162/evco_a_00371.
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2024 | Journal Article | LibreCat-ID: 54548
Prager, Raphael Patrick, and Heike Trautmann. “Exploratory Landscape Analysis for Mixed-Variable Problems.” IEEE Transactions on Evolutionary Computation, 2024, pp. 1–1, doi:10.1109/TEVC.2024.3399560.
LibreCat
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2024 | Conference Paper | LibreCat-ID: 54642
Dietrich, K., et al. “Hybridizing Target- and SHAP-Encoded Features for Algorithm Selection in Mixed-Variable Black-Box Optimization.” Parallel Problem Solving from Nature — PPSN XVIII, edited by M Affenzeller et al., Springer International Publishing, 2024, pp. 1–14.
LibreCat
2024 | Conference Paper | LibreCat-ID: 54643
Seiler, Moritz, et al. “Learned Features vs. Classical ELA on Affine BBOB Functions.” Parallel Problem Solving from Nature — PPSN XVIII, edited by M Affenzeller et al., Springer International Publishing, 2024, pp. 1–14.
LibreCat
2024 | Book Chapter | LibreCat-ID: 52759
Preuß, Oliver Ludger, et al. “On the Potential of Multi-Objective Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimisation Problems.” Applications of Evolutionary Computation, Springer Nature Switzerland, 2024, doi:10.1007/978-3-031-56852-7_20.
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2024 | Conference Paper | LibreCat-ID: 52749
Seiler, Moritz, et al. “Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP.” 2023 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, 2024, doi:10.1109/ssci52147.2023.10372008.
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2024 | Conference Paper | LibreCat-ID: 55649
Rook, Jeroen, et al. “Multi-Objective Ranking Using Bootstrap Resampling.” Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO 2024, Melbourne, VIC, Australia, July 14-18, 2024, edited by Xiaodong Li and Julia Handl, ACM, 2024, pp. 155–158, doi:10.1145/3638530.3654436.
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2024 | Journal Article | LibreCat-ID: 56221
Rodriguez-Fernandez, Angel E., et al. “Finding ϵ-Locally Optimal Solutions for Multi-Objective Multimodal Optimization.” IEEE Transactions on Evolutionary Computation, 2024, pp. 1–1, doi:10.1109/TEVC.2024.3458855.
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2024 | Conference Paper | LibreCat-ID: 58335
Seiler, Moritz, et al. “Synergies of Deep and Classical Exploratory Landscape Features for Automated Algorithm Selection.” Learning and Intelligent Optimization - 18th International Conference, LION 18, Ischia Island, Italy, June 9-13, 2024, Revised Selected Papers, edited by Paola Festa et al., vol. 14990, Springer, 2024, pp. 361–376, doi:10.1007/978-3-031-75623-8_29.
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2024 | Conference (Editor) | LibreCat-ID: 58338
Affenzeller, Michael, et al., editors. Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part III. Springer, 2024, doi:10.1007/978-3-031-70071-2.
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2024 | Conference (Editor) | LibreCat-ID: 58336
Affenzeller, Michael, et al., editors. Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part I. Springer, 2024, doi:10.1007/978-3-031-70055-2.
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2024 | Conference (Editor) | LibreCat-ID: 58339
Affenzeller, Michael, et al., editors. Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part IV. Springer, 2024, doi:10.1007/978-3-031-70085-9.
LibreCat
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2024 | Conference (Editor) | LibreCat-ID: 58337
Affenzeller, Michael, et al., editors. Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part II. Springer, 2024, doi:10.1007/978-3-031-70068-2.
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2024 | Journal Article | LibreCat-ID: 59283
Prager, Raphael Patrick, and Heike Trautmann. “Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python.” Evol. Comput., vol. 32, no. 3, 2024, pp. 211–216, doi:10.1162/EVCO_A_00341.
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2023 | Conference Paper | LibreCat-ID: 47522
Prager, Raphael Patrick, et al. “Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features.” Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, Association for Computing Machinery, 2023, pp. 129–139, doi:10.1145/3594805.3607136.
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2023 | Conference Paper | LibreCat-ID: 46297
Prager, Raphael Patrick, and Heike Trautmann. “Nullifying the Inherent Bias of Non-Invariant Exploratory Landscape Analysis Features.” Applications of Evolutionary Computation, edited by João Correia et al., Springer Nature Switzerland, 2023, pp. 411–425.
LibreCat
2023 | Conference Paper | LibreCat-ID: 46298
Schäpermeier, Lennart, et al. “Peak-A-Boo! Generating Multi-Objective Multiple Peaks Benchmark Problems with Precise Pareto Sets.” Evolutionary Multi-Criterion Optimization, edited by Michael Emmerich et al., Springer Nature Switzerland, 2023, pp. 291–304.
LibreCat
2023 | Journal Article | LibreCat-ID: 46299
Prager, Raphael Patrick, and Heike Trautmann. “Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python.” Evolutionary Computation, 2023, pp. 1–25, doi:10.1162/evco_a_00341.
LibreCat
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2023 | Conference Paper | LibreCat-ID: 48869
Bossek, Jakob, et al. “On the Impact of Basic Mutation Operators and Populations within Evolutionary Algorithms for the Dynamic Weighted Traveling Salesperson Problem.” Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, 2023, pp. 248–256, doi:10.1145/3583131.3590384.
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