Bossek, Jakob, et al. “More Effective Randomized Search Heuristics for Graph Coloring through Dynamic Optimization.”10.1145/3377930.3390174__Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, 2020, pp. 1277–1285, doi:10.1145/3377930.3390174.

Bossek, Jakob, et al. “The Node Weight Dependent Traveling Salesperson Problem: Approximation Algorithms and Randomized Search Heuristics.”10.1145/3377930.3390243__Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, 2020, pp. 1286–1294, doi:10.1145/3377930.3390243.

Bossek, Jakob, et al. “Dynamic Bi-Objective Routing of Multiple Vehicles.”10.1145/3377930.3390146__Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, 2020, pp. 166–174, doi:10.1145/3377930.3390146.

Bossek, Jakob, et al. “Initial Design Strategies and Their Effects on Sequential Model-Based Optimization: An Exploratory Case Study Based on BBOB.”10.1145/3377930.3390155__Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, 2020, pp. 778–786, doi:10.1145/3377930.3390155.

Do, Anh Viet, et al. “Evolving Diverse Sets of Tours for the Travelling Salesperson Problem.”10.1145/3377930.3389844__Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, 2020, pp. 681–689, doi:10.1145/3377930.3389844.

Roostapour, Vahid, et al. “Runtime Analysis of Evolutionary Algorithms with Biased Mutation for the Multi-Objective Minimum Spanning Tree Problem.”10.1145/3377930.3390168__Proceedings of the 2020 Genetic and Evolutionary Computation Conference, Association for Computing Machinery, 2020, pp. 551–559, doi:10.1145/3377930.3390168.