Hybrid Evolutionary Algorithm Based on PSO and GA Mutation

Authors:
A. A. A. Esmin;G. Lambert-Torres;G. B. Alvarenga
Affiliations:
UFLA, Brazil;UNIFEI, Brazil;UFLA, Brazil
Venue:
HIS '06 Proceedings of the Sixth International Conference on Hybrid Intelligent Systems
Year:
2006

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Abstract

This paper presents a hybrid evolutionary algorithm based on Particle Swarm Optimization (PSO) and Genetic Algorithms (GAs). The main idea is to integrate PSO with GA mutation method. Simulations for a series of benchmark test functions show that the hybrid proposed method possess better ability to find the global optimum than the standard PSO algorithm.