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Erschienen in:
2012 | OriginalPaper | Buchkapitel
Hybridization of Differential Evolution and Particle Swarm Optimization in a New Algorithm: DEPSO-2S
verfasst von : Abbas El Dor, Maurice Clerc, Patrick Siarry
Erschienen in: Swarm and Evolutionary Computation
Verlag: Springer Berlin Heidelberg
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PSO-2S is a multi-swarm PSO algorithm using charged particles in a partitioned search space for continuous optimization problems. This algorithm uses two kinds of swarms, a main one that gathers the best particles of auxiliary ones. In this paper, we present a new variant of PSO-2S, called DEPSO-2S, which is a hybridization of DE and PSO. DE was used, in this variant, to construct the main swarm. We analyze the performance of the proposed approach on seven real problems. The obtained results show the efficiency of the proposed algorithm.