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85 Publications


2025 | Journal Article | LibreCat-ID: 59073
Rook, Jeroen G., Carolin Benjamins, Jakob Bossek, Heike Trautmann, Holger H. Hoos, and Marius Lindauer. “MO-SMAC: Multi-Objective Sequential Model-Based Algorithm Configuration.” Evolutionary Computation, 2025, 1–25. https://doi.org/10.1162/evco_a_00371.
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2024 | Conference Paper | LibreCat-ID: 52749
Seiler, Moritz, Jeroen Rook, Jonathan Heins, Oliver Ludger Preuß, Jakob Bossek, and Heike Trautmann. “Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP.” In 2023 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 2024. https://doi.org/10.1109/ssci52147.2023.10372008.
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2023 | Conference Paper | LibreCat-ID: 48869
Bossek, Jakob, Aneta Neumann, and Frank Neumann. “On the Impact of Basic Mutation Operators and Populations within Evolutionary Algorithms for the Dynamic Weighted Traveling Salesperson Problem.” In Proceedings of the Genetic and Evolutionary Computation Conference, 248–256. GECCO’23. New York, NY, USA: Association for Computing Machinery, 2023. https://doi.org/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.” In Proceedings of the Genetic and Evolutionary Computation Conference, 1546–1554. GECCO’23. New York, NY, USA: Association for Computing Machinery, 2023. https://doi.org/10.1145/3583131.3590383.
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2023 | Conference Paper | LibreCat-ID: 48886
Marrero, Alejandro, Eduardo Segredo, Emma Hart, Jakob Bossek, and Aneta Neumann. “Generating Diverse and Discriminatory Knapsack Instances by Searching for Novelty in Variable Dimensions of Feature-Space.” In Proceedings of the Genetic} and Evolutionary Computation Conference, 312–320. GECCO’23. New York, NY, USA: Association for Computing Machinery, 2023. https://doi.org/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, 113757. https://doi.org/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, 1–35. https://doi.org/10.1162/evco_a_00335.
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2023 | Journal Article | LibreCat-ID: 46310
Heins, Jonathan, Jakob Bossek, Janina Pohl, Moritz Seiler, Heike Trautmann, and Pascal Kerschke. “A Study on the Effects of Normalized TSP Features for Automated Algorithm Selection.” Theoretical Computer Science 940 (2023): 123–45. https://doi.org/10.1016/j.tcs.2022.10.019.
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2023 | Conference Paper | LibreCat-ID: 48898
Seiler, Moritz, Jeroen Rook, Jonathan Heins, Oliver Ludger Preuß, Jakob Bossek, and Heike Trautmann. “Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP.” In 2023 IEEE Symposium Series on Computational Intelligence (SSCI), 361–68, n.d. https://doi.org/10.1109/SSCI52147.2023.10372008.
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2022 | Conference Paper | LibreCat-ID: 48861
Bossek, Jakob, and Frank Neumann. “Exploring the Feature Space of TSP Instances Using Quality Diversity.” In Proceedings of the Genetic and Evolutionary Computation Conference, 186–194. GECCO ’22. New York, NY, USA: Association for Computing Machinery, 2022. https://doi.org/10.1145/3512290.3528851.
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2022 | Conference Paper | LibreCat-ID: 48868
Bossek, Jakob, Aneta Neumann, and Frank Neumann. “Evolutionary Diversity Optimization for Combinatorial Optimization: Tutorial at GECCO’22, Boston, USA.” In Proceedings of the Genetic and Evolutionary Computation Conference Companion, 824–842. GECCO’22. New York, NY, USA: Association for Computing Machinery, 2022. https://doi.org/10.1145/3520304.3533626.
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2022 | Conference Paper | LibreCat-ID: 48882
Heins, Jonathan, Jeroen Rook, Lennart Schäpermeier, Pascal Kerschke, Jakob Bossek, and Heike Trautmann. “BBE: Basin-Based Evaluation of Multimodal Multi-Objective Optimization Problems.” In Parallel Problem Solving from Nature (PPSN XVII), edited by Günter Rudolph, Anna V. Kononova, Hernán Aguirre, Pascal Kerschke, Gabriela Ochoa, and Tea Tusar, 192–206. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-031-14714-2_14.
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2022 | Conference Paper | LibreCat-ID: 48894
Nikfarjam, Adel, Aneta Neumann, Jakob Bossek, and Frank Neumann. “Co-Evolutionary Diversity Optimisation for the Traveling Thief Problem.” In Parallel Problem Solving from Nature (PPSN XVII), edited by Günter Rudolph, Anna V. Kononova, Hernán Aguirre, Pascal Kerschke, Gabriela Ochoa, and Tea Tu\v sar, 237–249. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-031-14714-2_17.
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2022 | Journal Article | LibreCat-ID: 48878
Clever, Lena, Janina Susanne Pohl, Jakob Bossek, Pascal Kerschke, and Heike Trautmann. “Process-Oriented Stream Classification Pipeline: A Literature Review.” Applied Sciences 12, no. 18 (2022): 9094. https://doi.org/10.3390/app12189094.
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2022 | Conference Paper | LibreCat-ID: 48896
Rook, Jeroen, Heike Trautmann, Jakob Bossek, and Christian Grimme. “On the Potential of Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimization Problems.” In Proceedings of the Genetic and Evolutionary Computation Conference Companion, 356–359. GECCO’22. New York, NY, USA: Association for Computing Machinery, 2022. https://doi.org/10.1145/3520304.3528998.
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2022 | Journal Article | LibreCat-ID: 46309
Clever, Lena, Janina Susanne Pohl, Jakob Bossek, Pascal Kerschke, and Heike Trautmann. “Process-Oriented Stream Classification Pipeline: A Literature Review.” Applied Sciences 12, no. 8 (2022): 1–44. https://doi.org/10.3390/app12189094.
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2022 | Conference Paper | LibreCat-ID: 46305
Rook, J, Heike Trautmann, Jakob Bossek, and C Grimme. “On the Potential of Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimization Problems.” In Proceedings of the Genetic and Evolutionary Computation Conference Companion, edited by J Fieldsend and M. Wagner, 356–359–356–359. GECCO ’22. New York, NY, USA: Association for Computing Machinery, 2022. https://doi.org/10.1145/3520304.3528998.
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2022 | Conference Paper | LibreCat-ID: 46302
Heins, J, J Rook, L Schäpermeier, P Kerschke, Jakob Bossek, and Heike Trautmann. “BBE: Basin-Based Evaluation of Multimodal Multi-Objective Optimization Problems.” In Parallel Problem Solving from Nature — PPSN XVII, edited by G Rudolph, AV Kononova, H Aguirre, P Kerschke, G Ochoa, and T Tušar, 192–206. Cham: Springer International Publishing, 2022.
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2021 | Conference Paper | LibreCat-ID: 48853
Bossek, Jakob, Aneta Neumann, and Frank Neumann. “Breeding Diverse Packings for the Knapsack Problem by Means of Diversity-Tailored Evolutionary Algorithms.” In Proceedings of the Genetic and Evolutionary Computation Conference, 556–564. GECCO ’21. New York, NY, USA: Association for Computing Machinery, 2021. https://doi.org/10.1145/3449639.3459364.
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2021 | Conference Paper | LibreCat-ID: 48855
Bossek, Jakob, Aneta Neumann, and Frank Neumann. “Exact Counting And~Sampling of Optima for the Knapsack Problem.” In Learning and Intelligent Optimization, 40–54. Berlin, Heidelberg: Springer-Verlag, 2021. https://doi.org/10.1007/978-3-030-92121-7_4.
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