关键词: 非线性规划, 全局优化, 粒子群优化, 混沌优化, 自适应

Abstract: By making the best of the particle swarm optimization’s quick convergence speed and the ergodicity，stochastic property and regularity of chaos，considering the effect of inertia gene for diversity，introducing the evaluate mechanism about precocity convergence’s degree，getting chaos sequence using logic mapped function， this paper proposes an adaptive particle swarm global optimization algorithm based on Chaos.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.The performance of ACPSO is evidently better than original PSO and CPSO.

Key words: nonlinear optimization, global optimization, particle swarm optimization, chaos optimization, adaptive