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36760 Publications
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.
LibreCat
| DOI
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.
LibreCat
| DOI
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.
LibreCat
| DOI
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.
LibreCat
| DOI
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.
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 48852
Bossek, Jakob, et al. “Optimising Tours for the Weighted Traveling Salesperson Problem and the Traveling Thief Problem: A Structural Comparison of Solutions.” Parallel Problem Solving from Nature (PPSN XVI), Springer-Verlag, 2020, pp. 346–359, doi:10.1007/978-3-030-58112-1_24.
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 48846
Bossek, Jakob, et al. “Towards Decision Support in Dynamic Bi-Objective Vehicle Routing.” 2020 IEEE Congress on Evolutionary Computation (CEC), IEEE Press, 2020, pp. 1–8, doi:10.1109/CEC48606.2020.9185778.
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 48879
Do, Anh Viet, et al. “Evolving Diverse Sets of Tours for the Travelling Salesperson Problem.” Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, 2020, pp. 681–689, doi:10.1145/3377930.3389844.
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 48895
Roostapour, Vahid, et al. “Runtime Analysis of Evolutionary Algorithms with Biased Mutation for the Multi-Objective Minimum Spanning Tree Problem.” Proceedings of the 2020 Genetic and Evolutionary Computation Conference, Association for Computing Machinery, 2020, pp. 551–559, doi:10.1145/3377930.3390168.
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 48897
Seiler, Moritz, et al. “Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem.” Parallel Problem Solving from {Nature} (PPSN XVI), Springer-Verlag, 2020, pp. 48–64, doi:10.1007/978-3-030-58112-1_4.
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