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GECCO
2010
Springer

Niching the CMA-ES via nearest-better clustering

9 years 2 months ago
Niching the CMA-ES via nearest-better clustering
We investigate how a niching based evolutionary algorithm fares on the BBOB function test set, knowing that most problems are not very well suited to this algorithm class. However, as the CMA-ES is included as basic local search algorithm, the niching approach still performs fairly well, with some potential to improve. Basin identiļ¬cation is done via the heuristic nearest-best clustering scheme. Categories and Subject Descriptors
Mike Preuss
Added 30 Aug 2010
Updated 30 Aug 2010
Type Conference
Year 2010
Where GECCO
Authors Mike Preuss
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