混沌粒子群优化（CPSO, Chaos Particle Swarm Optimization）算法融合了PSO算法的快收敛和CO算法的遍历随机等特点，在PSO算法每一代挑选出的最优解附近的区域里，用混沌算法进一步搜索，防止其陷入局部最优值，从而改进了PSO算法的不足，成为一种高效的优化算法。-Chaotic Particle Swarm Optimization (CPSO, Chaos Particle Swarm Optimization) algorithm combines the features of the PSO algorithm fast convergence and CO traversal algorithm randomly each generation in the PSO algorithm selected area near the optimal solution, further chaos algorithm search prevent it from falling into local optimal value, thus improving the deficiencies of the PSO algorithm, an efficient optimization algorithm.