Adaptive chaos particle swarm optimization based on colony fitness variance
基于群体适应度方差的自适应混沌粒子群算法*

All existing chaos particle swarm optimization algorithm(PSO) uses Logistic chaos,but the uniformity and rando-mization of the sequence come from the Logistic chaos are not enough,it influences the algorithm's performance.This paper suggested introducing An chaos into PSO,An chaos had better uniformity,using An chaos to initialize the particle swarm's position and velocity,and using the colony fitness variance's variation to start the substitution of part partial particle,to improve the performance.The resu...