关键词: 混沌, 优化, 粒子群

Abstract: By introducing chaos state into the original Particle Swarm Optimization (PSO), this paper proposed a new algorithm-Chaos Particle Swarm Optimization (CPSO). The new algorithm makes good use of the ergodicity, stochastic property, and regularity of chaos. By judging the local convergence, when PSO gets into the local convergence, CPSO can start the chaos researching. The experimental results demonstrate that the new algorithm has the ability to avoid being trapped in local minima, and improves computational precision, convergence speed and the ability of global optimization.

Key words: chaos, optimization, particle swarm