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Runtime analysis of evolutionary algorithms with biased mutation for the multi-objective minimum spanning tree problem.

, , and . GECCO, page 551-559. ACM, (2020)

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Time Complexity Analysis of Randomized Search Heuristics for the Dynamic Graph Coloring Problem., , , and . CoRR, (2021)Benchmarking in Optimization: Best Practice and Open Issues., , , , , , , , , and 5 other author(s). CoRR, (2020)A multi-objective perspective on performance assessment and automated selection of single-objective optimization algorithms., , and . Appl. Soft Comput., (2020)On Single-Objective Sub-Graph-Based Mutation for Solving the Bi-Objective Minimum Spanning Tree Problem., and . CoRR, (2023)Co-evolutionary Diversity Optimisation for the Traveling Thief Problem., , , and . PPSN (1), volume 13398 of Lecture Notes in Computer Science, page 237-249. Springer, (2022)Entropy-based evolutionary diversity optimisation for the traveling salesperson problem., , , and . GECCO, page 600-608. ACM, (2021)Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection., , and . CEC, page 1-8. IEEE, (2020)Parameterization of state-of-the-art performance indicators: a robustness study based on inexact TSP solvers., , and . GECCO (Companion), page 1737-1744. ACM, (2018)The node weight dependent traveling salesperson problem: approximation algorithms and randomized search heuristics., , , and . GECCO, page 1286-1294. ACM, (2020)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)