一种基于混沌的聚类粒子群求解非线性方程组的优化算法

摘要

从非线性方程组及其函数优化问题的角度出发，提出了一种基于混沌的聚类粒子群优化算法。通过混沌优化方法、谱系聚类法和粒子群的更新构成改进后的粒子群优化算法，极大的提高了求解的稳定性和精确性。%Starting from the nonlinear equations and their function optimization,this paper puts forward the optimization of solution to nonlinear equations based on chaos clustering particle swarm. The optimization of particle swarm improved by means of chaos optimiza-tion,hierarchical clustering method and renewal of particle swarm can greatly improve the stability and accuracy of solution.