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219 Publications
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.
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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 | Conference Paper | LibreCat-ID: 60131
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 - 27th European Conference, EvoApplications 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3-5, 2024, Proceedings, Part I, edited by Stephen L. Smith et al., vol. 14634, Springer, 2024, pp. 305–321, doi:10.1007/978-3-031-56852-7_20.
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2024 | Conference Paper | LibreCat-ID: 60132
Seiler, Moritz, et al. “Learned Features vs. Classical ELA on Affine BBOB Functions.” Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part II, edited by Michael Affenzeller et al., vol. 15149, Springer, 2024, pp. 137–153, doi:10.1007/978-3-031-70068-2_9.
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2024 | Conference Paper | LibreCat-ID: 63706
Schmidbauer, Marcus, et al. “Guiding Quality Diversity on Monotone Submodular Functions: Customising the Feature Space by Adding Boolean Conjunctions.” Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2024, Melbourne, VIC, Australia, July 14-18, 2024, edited by Xiaodong Li and Julia Handl, ACM, 2024, doi:10.1145/3638529.3654160.
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2024 | Conference Paper | LibreCat-ID: 63705
Bossek, Jakob, and Christian Grimme. “Generalised Kruskal Mutation for the Multi-Objective Minimum Spanning Tree Problem.” Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2024, Melbourne, VIC, Australia, July 14-18, 2024, edited by Xiaodong Li and Julia Handl, ACM, 2024, doi:10.1145/3638529.3654165.
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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.
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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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2023 | Conference Paper | LibreCat-ID: 48872
Bossek, Jakob, and Dirk Sudholt. “Runtime Analysis of Quality Diversity Algorithms.” Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, 2023, pp. 1546–1554, doi:10.1145/3583131.3590383.
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2023 | Conference Paper | LibreCat-ID: 48886
Marrero, Alejandro, et al. “Generating Diverse and Discriminatory Knapsack Instances by Searching for Novelty in Variable Dimensions of Feature-Space.” Proceedings of the Genetic} and Evolutionary Computation Conference, Association for Computing Machinery, 2023, pp. 312–320, doi:10.1145/3583131.3590504.
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2023 | Journal Article | LibreCat-ID: 48871
Bossek, Jakob, and Dirk Sudholt. “Do Additional Target Points Speed Up Evolutionary Algorithms?” Theoretical Computer Science, 2023, p. 113757, doi:10.1016/j.tcs.2023.113757.
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2023 | Journal Article | LibreCat-ID: 48859
Bossek, Jakob, and Christian Grimme. “On Single-Objective Sub-Graph-Based Mutation for Solving the Bi-Objective Minimum Spanning Tree Problem.” Evolutionary Computation, 2023, pp. 1–35, doi:10.1162/evco_a_00335.
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2023 | Conference Paper | LibreCat-ID: 52530
Prager, Raphael Patrick, and Heike Trautmann. “Investigating the Viability of Existing Exploratory Landscape Analysis Features for Mixed-Integer Problems.” Companion Proceedings of the Conference on Genetic and Evolutionary Computation, GECCO 2023, Companion Volume, Lisbon, Portugal, July 15-19, 2023, edited by Sara Silva and Luís Paquete, ACM, 2023, pp. 451–454, doi:10.1145/3583133.3590757.
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