Annals of Operations Research

, Volume 156, Issue 1, pp 99–127 | Cite as

Memetic particle swarm optimization

  • Y. G. Petalas
  • K. E. Parsopoulos
  • M. N. VrahatisEmail author


We propose a new Memetic Particle Swarm Optimization scheme that incorporates local search techniques in the standard Particle Swarm Optimization algorithm, resulting in an efficient and effective optimization method, which is analyzed theoretically. The proposed algorithm is applied to different unconstrained, constrained, minimax and integer programming problems and the obtained results are compared to that of the global and local variants of Particle Swarm Optimization, justifying the superiority of the memetic approach.


Global optimization Particle swarm optimization Memetic algorithms Local search 


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Copyright information

© Springer Science+Business Media, LLC 2007

Authors and Affiliations

  • Y. G. Petalas
    • 1
  • K. E. Parsopoulos
    • 1
  • M. N. Vrahatis
    • 1
    Email author
  1. 1.Computational Intelligence Laboratory (CI Lab), Department of Mathematics, University of Patras Artificial Intelligence Research Center (UPAIRC)University of PatrasPatrasGreece

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