A Competition Optimization Mode of Ecological Particle Swarm
AN Jing1,2,KANG Qi1,3,WANG Lei1,3,WU Qi-Di1,3
1.College of Electronics and Information Engineering,Tongji University,Shanghai 201804 2.School of Mechanical and Automation Engineering,Shanghai Institute of Technology,Shanghai 200235 3.Key Laboratory of Embedded System and Computer-Service of Ministry of Education,Tongji University,Shanghai 201804
Abstract An ecological particle swarm competition optimization model is proposed in this paper by introducting the original idea of population density in ecology into swarm intelligent computation. The dynamics characteristics can more fully describe individuals, environment and cooperative behavior between them, which is to a certain extent out of the biological evolution framework only applying individual fitness to control the evolution. Numerical simulation results show that the proposed ecological PSO model can effectively improve the premature convergence and convergence speed.
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2010, Vol. 23 
