Journal of Global Optimization
Analysis of the publications on the applications of particle swarm optimisation
Journal of Artificial Evolution and Applications - Regular issue
A multi-swarm PSO using charged particles in a partitioned search space for continuous optimization
Computational Optimization and Applications
A survey on optimization metaheuristics
Information Sciences: an International Journal
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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.