Titlebook: Evolutionary Computation in Combinatorial Optimization; 22nd European Confer Leslie Pérez Cáceres,Sébastien Verel Conference proceedings 20

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,Evolutionary Algorithms for?the?Constrained Two-Level Role Mining Problem,izing multiple levels of roles simultaneously. The other approaches divide the multi-level role mining problem into separate sub-problems, which are optimized individually. All approaches are based on an evolutionary algorithm for single-level role mining and have been implemented and evaluated in a range of experiments.

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,Simplifying Dispatching Rules in?Genetic Programming for?Dynamic Job Shop Scheduling,. The results show that the proposed approach can obtain better and simpler rules than the baseline GP and existing GP algorithms with simplification. Further analysis verified the effectiveness of the newly developed numerical and simplification operators.

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PUBO,: A Tunable Benchmark with Variable Importance,presented here, we consider four subproblems already used in Chook generator for benchmarking quantum computers and algorithms as a basis. We also present the impact of benchmark parameters using a fitness landscape analysis that empirically shows these parameters to significantly impact the variable importance.

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Conference proceedings 2022 held as part of Evo*2022, in Madrid, Spain, during April 20-21, 2022, co-located with the Evo*2022 events: EvoMUSART, EvoApplications, and EuroGP..The 13 revised full papers presented in this book were carefully reviewed and selected from 28 submissions. They present recent theoretical and experime