Parallel particle swarm optimization with parameters adaptation using fuzzy logic

Authors:
Fevrier Valdez;Patricia Melin;Oscar Castillo
Affiliations:
Tijuana Institute of Technology, Tijuana BC, México;Tijuana Institute of Technology, Tijuana BC, México;Tijuana Institute of Technology, Tijuana BC, México
Venue:
MICAI'12 Proceedings of the 11th Mexican international conference on Advances in Computational Intelligence - Volume Part II
Year:
2012

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Abstract

We describe in this paper a Parallel Particle Swarm Optimization (PPSO) method with dynamic parameter adaptation to optimize complex mathematical functions. Fuzzy Logic is used to adapt the parameters of the PSO in the best way possible. The PPSO is shown to be superior to the individual evolutionary methods on the set of benchmark functions.