A new evolutionary method with a hybrid approach combining particle swarm optimization and genetic algorithms using fuzzy logic for decision making

Fevrier Valdez, Patricia Melin, Oscar Castillo, Oscar Montiel

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

21 Scopus citations

Abstract

We describe in this paper a new hybrid approach for mathematical function optimization combining Particle Swarm Optimization (PSO) and Genetic Algorithms (GAs) using Fuzzy Logic to integrate the results. The new evolutionary method combines the advantages of PSO and GA to give us an improved PSO+GA hybrid method. Fuzzy Logic is used to combine the results of the PSO and GA in the best way possible. The new hybrid PSO+GA approach is compared with the PSO and GA methods with a set of benchmark mathematical functions. The new hybrid PSO+GA method is shown to be superior than the individual evolutionary methods.

Original languageEnglish
Title of host publication2008 IEEE Congress on Evolutionary Computation, CEC 2008
Pages1333-1339
Number of pages7
DOIs
StatePublished - 2008
Event2008 IEEE Congress on Evolutionary Computation, CEC 2008 - Hong Kong, China
Duration: 1 Jun 20086 Jun 2008

Publication series

Name2008 IEEE Congress on Evolutionary Computation, CEC 2008

Conference

Conference2008 IEEE Congress on Evolutionary Computation, CEC 2008
Country/TerritoryChina
CityHong Kong
Period1/06/086/06/08

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