Performance comparison of self-adaptive and adaptive differential evolution algorithmsBrest, Janez (Avtor) Bošković, Borko (Avtor) Greiner, Sašo (Avtor) Žumer, Viljem (Avtor) Sepesy Maučec, Mirjam (Avtor) differential evolutioncontrol parameterfitness functionoptimizationself-adaptionDifferential evolution (DE) has been shown to be a simple, yet powerful, evolutionary algorithm for global optimization. for many real problems. Adaptation, especially self-adaptation, has been found to be highly beneficial for adjusting control parameters, especially when done without any user interaction. This paper presents differential evolution algorithms, whichuse different adaptive or self-adaptive mechanisms applied to the control parameters. Detailed performance comparisons of these algorithms on the benchmark functions are outlined.20072012-06-01 11:19:25Neznano27473sl