关键词: 优化算法, 人工鱼算法, 粒子群算法, 模拟退火, 混沌, 协同

Abstract: Aiming at the drawbacks of Artificial Fish-Swarm Algorithm（AFSA），such as being poor in performance of precision and being low in rate of convergence，Chaos Cooperative Artificial Fish-Swarm Algorithm Particle Swarm Optimization（CCAFSA） is presented.By combining AFSA，PSO global parallel search with Simulation Annealing algorithm（SA） search mechanism，and taking the snap leaping function of Simulated Annealing algorithm and the ergodicity of chaos，CCAFSAPSO overcomes the deficiencies of AFSA and PSO in convergence speed，accuracy and the easy trapping into local optimum.The results of the typical function tests further show that CCAFSAPSO algorithm has faster convergence，higher accuracy than similar algorithms.At last the algorithm is applied to process chemical engineering data and gets satisfying results.

Key words: optimization algorithm, Artificial Fish-Swarm Algorithm（AFSA）, Particle Swarm Optimization（PSO）, Simulated Annealing（SA）, chaos, collaborative