Please note that LibreCat no longer supports Internet Explorer versions 8 or 9 (or earlier).

We recommend upgrading to the latest Internet Explorer, Google Chrome, or Firefox.

85 Publications


2025 | Journal Article | LibreCat-ID: 59073
Rook JG, Benjamins C, Bossek J, Trautmann H, Hoos HH, Lindauer M. MO-SMAC: Multi-objective Sequential Model-based Algorithm Configuration. Evolutionary Computation. Published online 2025:1-25. doi:10.1162/evco_a_00371
LibreCat | DOI
 

2024 | Conference Paper | LibreCat-ID: 52749
Seiler M, Rook J, Heins J, Preuß OL, Bossek J, Trautmann H. Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP. In: 2023 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE; 2024. doi:10.1109/ssci52147.2023.10372008
LibreCat | DOI
 

2023 | Conference Paper | LibreCat-ID: 48869
Bossek J, Neumann A, Neumann F. 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. GECCO’23. Association for Computing Machinery; 2023:248–256. doi:10.1145/3583131.3590384
LibreCat | DOI
 

2023 | Conference Paper | LibreCat-ID: 48872
Bossek J, Sudholt D. Runtime Analysis of Quality Diversity Algorithms. In: Proceedings of the Genetic and Evolutionary Computation Conference. GECCO’23. Association for Computing Machinery; 2023:1546–1554. doi:10.1145/3583131.3590383
LibreCat | DOI
 

2023 | Conference Paper | LibreCat-ID: 48886
Marrero A, Segredo E, Hart E, Bossek J, Neumann A. 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. GECCO’23. Association for Computing Machinery; 2023:312–320. doi:10.1145/3583131.3590504
LibreCat | DOI
 

2023 | Journal Article | LibreCat-ID: 48871
Bossek J, Sudholt D. Do Additional Target Points Speed Up Evolutionary Algorithms? Theoretical Computer Science. Published online 2023:113757. doi:10.1016/j.tcs.2023.113757
LibreCat | DOI
 

2023 | Journal Article | LibreCat-ID: 48859
Bossek J, Grimme C. On Single-Objective Sub-Graph-Based Mutation for Solving the Bi-Objective Minimum Spanning Tree Problem. Evolutionary Computation. Published online 2023:1–35. doi:10.1162/evco_a_00335
LibreCat | DOI
 

2023 | Journal Article | LibreCat-ID: 46310
Heins J, Bossek J, Pohl J, Seiler M, Trautmann H, Kerschke P. A study on the effects of normalized TSP features for automated algorithm selection. Theoretical Computer Science. 2023;940:123-145. doi:https://doi.org/10.1016/j.tcs.2022.10.019
LibreCat | DOI
 

2023 | Conference Paper | LibreCat-ID: 48898
Seiler M, Rook J, Heins J, Preuß OL, Bossek J, Trautmann H. Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP. In: 2023 IEEE Symposium Series on Computational Intelligence (SSCI). ; :361-368. doi:10.1109/SSCI52147.2023.10372008
LibreCat | DOI
 

2022 | Conference Paper | LibreCat-ID: 48861
Bossek J, Neumann F. Exploring the Feature Space of TSP Instances Using Quality Diversity. In: Proceedings of the Genetic and Evolutionary Computation Conference. GECCO ’22. Association for Computing Machinery; 2022:186–194. doi:10.1145/3512290.3528851
LibreCat | DOI
 

2022 | Conference Paper | LibreCat-ID: 48868
Bossek J, Neumann A, Neumann F. Evolutionary Diversity Optimization for Combinatorial Optimization: Tutorial at GECCO’22, Boston, USA. In: Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO’22. Association for Computing Machinery; 2022:824–842. doi:10.1145/3520304.3533626
LibreCat | DOI
 

2022 | Conference Paper | LibreCat-ID: 48882
Heins J, Rook J, Schäpermeier L, Kerschke P, Bossek J, Trautmann H. BBE: Basin-Based Evaluation of Multimodal Multi-objective Optimization Problems. In: Rudolph G, Kononova AV, Aguirre H, Kerschke P, Ochoa G, Tusar T, eds. Parallel Problem Solving from Nature (PPSN XVII). Lecture Notes in Computer Science. Springer International Publishing; 2022:192–206. doi:10.1007/978-3-031-14714-2_14
LibreCat | DOI
 

2022 | Conference Paper | LibreCat-ID: 48894
Nikfarjam A, Neumann A, Bossek J, Neumann F. Co-Evolutionary Diversity Optimisation for the Traveling Thief Problem. In: Rudolph G, Kononova AV, Aguirre H, Kerschke P, Ochoa G, Tu\v sar T, eds. Parallel Problem Solving from Nature (PPSN XVII). Lecture Notes in Computer Science. Springer International Publishing; 2022:237–249. doi:10.1007/978-3-031-14714-2_17
LibreCat | DOI
 

2022 | Journal Article | LibreCat-ID: 48878
Clever L, Pohl JS, Bossek J, Kerschke P, Trautmann H. Process-Oriented Stream Classification Pipeline: A Literature Review. Applied Sciences. 2022;12(18):9094. doi:10.3390/app12189094
LibreCat | DOI
 

2022 | Conference Paper | LibreCat-ID: 48896
Rook J, Trautmann H, Bossek J, Grimme C. On the Potential of Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimization Problems. In: Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO’22. Association for Computing Machinery; 2022:356–359. doi:10.1145/3520304.3528998
LibreCat | DOI
 

2022 | Journal Article | LibreCat-ID: 46309
Clever L, Pohl JS, Bossek J, Kerschke P, Trautmann H. Process-Oriented Stream Classification Pipeline: A Literature Review. Applied Sciences. 2022;12(8):1–44. doi:10.3390/app12189094
LibreCat | DOI
 

2022 | Conference Paper | LibreCat-ID: 46305
Rook J, Trautmann H, Bossek J, Grimme C. On the Potential of Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimization Problems. In: Fieldsend J, Wagner M, eds. Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO ’22. Association for Computing Machinery; 2022:356–359-356–359. doi:10.1145/3520304.3528998
LibreCat | DOI
 

2022 | Conference Paper | LibreCat-ID: 46302
Heins J, Rook J, Schäpermeier L, Kerschke P, Bossek J, Trautmann H. BBE: Basin-Based Evaluation of Multimodal Multi-objective Optimization Problems. In: Rudolph G, Kononova A, Aguirre H, Kerschke P, Ochoa G, Tušar T, eds. Parallel Problem Solving from Nature — PPSN XVII. Springer International Publishing; 2022:192–206.
LibreCat
 

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 | DOI
 

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 | DOI
 

Filters and Search Terms

(person=102979)

Search

Filter Publications

Display / Sort

Citation Style: AMA

Export / Embed