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36759 Publications
2020 | Conference Paper | LibreCat-ID: 48851
J. Bossek, K. Casel, P. Kerschke, and F. Neumann, “The Node Weight Dependent Traveling Salesperson Problem: Approximation Algorithms and Randomized Search Heuristics,” in Proceedings of the Genetic and Evolutionary Computation Conference, 2020, pp. 1286–1294, doi: 10.1145/3377930.3390243.
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 48845
J. Bossek, C. Grimme, and H. Trautmann, “Dynamic Bi-Objective Routing of Multiple Vehicles,” in Proceedings of the Genetic and Evolutionary Computation Conference, 2020, pp. 166–174, doi: 10.1145/3377930.3390146.
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 48844
J. Bossek, P. Kerschke, and H. Trautmann, “Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection,” in 2020 IEEE Congress on Evolutionary Computation (CEC), 2020, pp. 1–8, doi: 10.1109/CEC48606.2020.9185613.
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 48850
J. Bossek, C. Doerr, and P. Kerschke, “Initial Design Strategies and Their Effects on Sequential Model-Based Optimization: An Exploratory Case Study Based on BBOB,” in Proceedings of the Genetic and Evolutionary Computation Conference, 2020, pp. 778–786, doi: 10.1145/3377930.3390155.
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 48852
J. Bossek, A. Neumann, and F. Neumann, “Optimising Tours for the Weighted Traveling Salesperson Problem and the Traveling Thief Problem: A Structural Comparison of Solutions,” in Parallel Problem Solving from Nature (PPSN XVI), 2020, pp. 346–359, doi: 10.1007/978-3-030-58112-1_24.
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 48846
J. Bossek, C. Grimme, G. Rudolph, and H. Trautmann, “Towards Decision Support in Dynamic Bi-Objective Vehicle Routing,” in 2020 IEEE Congress on Evolutionary Computation (CEC), 2020, pp. 1–8, doi: 10.1109/CEC48606.2020.9185778.
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 48879
A. V. Do, J. Bossek, A. Neumann, and F. Neumann, “Evolving Diverse Sets of Tours for the Travelling Salesperson Problem,” in Proceedings of the Genetic and Evolutionary Computation Conference, 2020, pp. 681–689, doi: 10.1145/3377930.3389844.
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 48895
V. Roostapour, J. Bossek, and F. Neumann, “Runtime Analysis of Evolutionary Algorithms with Biased Mutation for the Multi-Objective Minimum Spanning Tree Problem,” in Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 2020, pp. 551–559, doi: 10.1145/3377930.3390168.
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 48897
M. Seiler, J. Pohl, J. Bossek, P. Kerschke, and H. Trautmann, “Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem,” in Parallel Problem Solving from {Nature} (PPSN XVI), 2020, pp. 48–64, doi: 10.1007/978-3-030-58112-1_4.
LibreCat
| DOI
2020 | Journal Article | LibreCat-ID: 48848
J. Bossek, P. Kerschke, and H. Trautmann, “A Multi-Objective Perspective on Performance Assessment and Automated Selection of Single-Objective Optimization Algorithms,” Applied Soft Computing, vol. 88, no. C, 2020, doi: 10.1016/j.asoc.2019.105901.
LibreCat
| DOI