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Time Complexity Analysis of Randomized Search Heuristics for the Dynamic Graph Coloring Problem.

, , , and . CoRR, (2021)

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A Proof That Using Crossover Can Guarantee Exponential Speed-Ups in Evolutionary Multi-Objective Optimisation., , , and . AAAI, page 12390-12398. AAAI Press, (2023)Fast Perturbative Algorithm Configurators., , and . PPSN (1), volume 12269 of Lecture Notes in Computer Science, page 19-32. Springer, (2020)Self-adjusting population sizes for non-elitist evolutionary algorithms: why success rates matter., and . GECCO, page 1151-1159. ACM, (2021)Measuring and Maintaining Population Diversity in Search-Based Unit Test Generation., , and . SSBSE, volume 12420 of Lecture Notes in Computer Science, page 153-168. Springer, (2020)A tight lower bound on the expected runtime of standard steady state genetic algorithms., , and . GECCO, page 1323-1331. ACM, (2020)Illustrating the Efficiency of Popular Evolutionary Multi-Objective Algorithms Using Runtime Analysis., , and . GECCO, ACM, (2024)On the Equivalence Between Stochastic Tournament and Power-Law Ranking Selection and How to Implement Them Efficiently., , and . PPSN (3), volume 15150 of Lecture Notes in Computer Science, page 230-245. Springer, (2024)Level-Based Theorems for Runtime Analysis of Multi-objective Evolutionary Algorithms., , and . PPSN (3), volume 15150 of Lecture Notes in Computer Science, page 246-263. Springer, (2024)Tutorials at PPSN 2018., , , , , , , , , and 27 other author(s). PPSN (2), volume 11102 of Lecture Notes in Computer Science, page 477-489. Springer, (2018)The compact genetic algorithm struggles on Cliff functions., , and . GECCO, page 1426-1433. ACM, (2022)