Adaptive Chaos Particle Swarm Optimization Combined with Chaos Search

In order to improve the local search ability of adaptive chaos particle swarm optimization based on colony fitness variance(ACPSO),chaos mutation and chaos search into ACPSO are introduced.A chaos mapping is used for chaos mutation for some particles,and chaos search is performed for the global optimal particle.The results of the numerical simulation indicates that the convergence,global searching ability and local searching ability of the presented algorithm are enhanced,the algorithm can effectively avoid trapping in local minima.