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90 Publications
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2022 | Journal Article | LibreCat-ID: 46309
Clever, Lena, et al. “Process-Oriented Stream Classification Pipeline: A Literature Review.” Applied Sciences, vol. 12, no. 8, 2022, pp. 1–44, doi:10.3390/app12189094.
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2022 | Conference Paper | LibreCat-ID: 46302
Heins, J., et al. “BBE: Basin-Based Evaluation of Multimodal Multi-Objective Optimization Problems.” Parallel Problem Solving from Nature — PPSN XVII, edited by G Rudolph et al., Springer International Publishing, 2022, pp. 192–206.
LibreCat
2022 | Conference Paper | LibreCat-ID: 46305
Rook, J., et al. “On the Potential of Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimization Problems.” Proceedings of the Genetic and Evolutionary Computation Conference Companion, edited by J Fieldsend and M. Wagner, Association for Computing Machinery, 2022, pp. 356–359, doi:10.1145/3520304.3528998.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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2020 | Conference Paper | LibreCat-ID: 48847
Bossek, Jakob, et al. “More Effective Randomized Search Heuristics for Graph Coloring through Dynamic Optimization.” Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, 2020, pp. 1277–1285, doi:10.1145/3377930.3390174.
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2020 | Conference Paper | LibreCat-ID: 48849
Bossek, Jakob, et al. “Evolving Sampling Strategies for One-Shot Optimization Tasks.” Parallel Problem Solving from Nature (PPSN XVI), Springer-Verlag, 2020, pp. 111–124, doi:10.1007/978-3-030-58112-1_8.
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2020 | Conference Paper | LibreCat-ID: 48851
Bossek, Jakob, et al. “The Node Weight Dependent Traveling Salesperson Problem: Approximation Algorithms and Randomized Search Heuristics.” Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, 2020, pp. 1286–1294, doi:10.1145/3377930.3390243.
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2020 | Conference Paper | LibreCat-ID: 48845
Bossek, Jakob, et al. “Dynamic Bi-Objective Routing of Multiple Vehicles.” Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, 2020, pp. 166–174, doi:10.1145/3377930.3390146.
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2020 | Conference Paper | LibreCat-ID: 48844
Bossek, Jakob, et al. “Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection.” 2020 IEEE Congress on Evolutionary Computation (CEC), IEEE Press, 2020, pp. 1–8, doi:10.1109/CEC48606.2020.9185613.
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2020 | Conference Paper | LibreCat-ID: 48850
Bossek, Jakob, et al. “Initial Design Strategies and Their Effects on Sequential Model-Based Optimization: An Exploratory Case Study Based on BBOB.” Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, 2020, pp. 778–786, doi:10.1145/3377930.3390155.
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