Authors: YuTing Hsiao WeiPo Lee RueiYang Wang
Publish Date: 2014/02/09
Volume: 18, Issue: 12, Pages: 2501-2523
Abstract
Particle swarm optimization PSO is a populationbased optimization technique and it has been used to solve many optimization problems successfully However more efficient strategies are still needed to control the tradeoff between exploitation exploration in the search process for solving tasks with high complexity In this work we present a new hybrid PSO approach to overcome the search difficulties Our approach focuses on two search strategies One is a twoswarm cooperative strategy that controls search region and integrates full and single dimension PSO search The other strategy is to control the velocity of the particles in an adaptive way according to how they move in the space To evaluate the performance and generality of our hybrid approach extensive experiments have been conducted and the results confirm the effectiveness of the proposed approach
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