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ecr 2.0: a modular framework for evolutionary computation in R.. GECCO (Companion), page 1187-1193. ACM, (2017)Performance assessment of multi-objective evolutionary algorithms with the R package ecr.. GECCO (Companion), page 1350-1356. ACM, (2018)Initial Design Strategies and their Effects on Sequential Model-Based Optimization., , and . CoRR, (2020)Solving Scalarized Subproblems within Evolutionary Algorithms for Multi-criteria Shortest Path Problems., and . LION, volume 11353 of Lecture Notes in Computer Science, page 184-198. Springer, (2018)Understanding Characteristics of Evolved Instances for State-of-the-Art Inexact TSP Solvers with Maximum Performance Difference., and . AI*IA, volume 10037 of Lecture Notes in Computer Science, page 3-12. Springer, (2016)On the benefits of biased edge-exchange mutation for the multi-criteria spanning tree problem., , and . GECCO, page 516-523. ACM, (2019)Evolutionary Diversity Optimization and the Minimum Spanning Tree Problem., and . CoRR, (2020)Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP., , , , , and . SSCI, page 361-368. IEEE, (2023)Exact Counting and Sampling of Optima for the Knapsack Problem., , and . LION, volume 12931 of Lecture Notes in Computer Science, page 40-54. Springer, (2021)On the potential of automated algorithm configuration on multi-modal multi-objective optimization problems., , , and . GECCO Companion, page 356-359. ACM, (2022)