Titlebook: Parallel Problem Solving from Nature – PPSN XVIII; 18th International C Michael Affenzeller,Stephan M. Winkler,Thomas Bäck Conference proce

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Analysis of Evolutionary Diversity Optimisation for the Maximum Matching Problemap case, . otherwise, and . for paths. Here . is the total number of vertices and . the number of edges. Our empirical studies, examining the scaling behavior with respect to . and ., complement these theoretical insights and suggest potential for further refinement of the runtime bounds.

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Ranking Diversity Benefits Coevolutionary Algorithms on an Intransitive Gamenalyse two mechanisms that implement this idea. In the first approach, we ensure diversity of rankings through an archive. In the second approach, we introduce a CoEA without an archive, but with a ranking diversity mechanism. Both approaches optimise . in expected polynomial time.

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