关键词: 粒子群算法, 混沌, 物流配送路径

Abstract: Combining traverse of chaos and quickness of particle swarm，a chaotic particle swarm optimization algorithm is proposed for logistics distribution route problem.This algorithm generates the initial particles and adds a small disturbance to the partial particles of child generation group by using chaos variable.The disturbance amplitude is adjusted little by little and adjusts the inertia weighting factor as the search goes on to break away from local best solutions.This algorithm of chaotic particle swarm optimization is investigated to solve logistics distribution route problem.The mathematic mode is established and the solution algorithm is developed.The simulation results of example indicate that chaotic particle swarm optimization algorithm solves the defects of genetic of Genetic Algorithm（GA） and the PSO algorithm which are apt to trap in local minimums and premature problem，and has great advantage of convergence property.

Key words: particle swarm optimization, chaos, logistics distribution route