Fuzzy Classification System Design Using PSO with Dynamic Parameter Adaptation Through Fuzzy Logic

  • Frumen Olivas
  • Fevrier Valdez
  • Oscar Castillo
Part of the Studies in Computational Intelligence book series (SCI, volume 574)


In this paper a new method for dynamic parameter adaptation in particle swarm optimization (PSO) is proposed. PSO is a metaheuristic inspired in social behaviors, which is very useful in optimization problems. In this paper we propose an improvement to the convergence and diversity of the swarm in PSO using fuzzy logic. Simulation results show that the proposed approach improves the performance of PSO.


Fuzzy logic Particle swarm optimization Dynamic parameter adaptation Fuzzy classifier Fuzzy classification system 


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Tijuana Institute of TechnologyTijuanaMexico

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