混沌粒子群混合优化算法

Particle swam optimization algorithm (PSO) had quickly convergence but easily trapped into the local optimum. So this article will from the base of the chaos of enumeration, random and sensitivity for initial values, give a new better algorithm which based on the chaos of the particle swam optimization (CPSO), was presented through the improvement of particle swam optimization algorithm. This algorithm maintained the colony multiplicity, reinforced the PSO algorithm of global optimization, advanced computational precision, and improved the convergence property and robustness. Avoided algorithm stagnancy happed in more degree, so this algorithm was a availability of optimization.