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Hybridization of Differential Evolution and Particle Swarm Optimization in a New Algorithm: DEPSO-2S

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Part of the Lecture Notes in Computer Science book series (LNTCS,volume 7269)

Abstract

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.

Keywords

  • Particle swarm optimization
  • Differential evolution
  • Multi-swarm
  • Global optimization
  • Partitioned search space

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© 2012 Springer-Verlag Berlin Heidelberg

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El Dor, A., Clerc, M., Siarry, P. (2012). Hybridization of Differential Evolution and Particle Swarm Optimization in a New Algorithm: DEPSO-2S. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Swarm and Evolutionary Computation. EC SIDE 2012 2012. Lecture Notes in Computer Science, vol 7269. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29353-5_7

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  • DOI: https://doi.org/10.1007/978-3-642-29353-5_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29352-8

  • Online ISBN: 978-3-642-29353-5

  • eBook Packages: Computer ScienceComputer Science (R0)