计算机工程与应用Issue(24)：38-40,96,4.DOI:10.3778/j.issn.1002-8331.1306-0355
非线性方程组问题的粒子群-邻近点混合算法
Particle Swarm Optimization-Proximal Point Algorithm for systems of nonlinear equations
摘要
Abstract
The problems of nonlinear equations are a class of classical numerical calculation problems, and the simple evolutionary algorithm requires not only a high degree of evolution algebra, but also can not 100%guarantee to converge to the global optimal solution. To solve this problem, Particle Swarm Optimization and Proximal Point Algorithm are mixed, and the Proximal Point Algorithm is used as the outer layer algorithm, and the Particle Swarm Optimization is used as the inner layer algorithm to solve the problems of nonlinear equations. The algorithm has better effects of computation for convex problems, which is an effective algorithm of solving nonlinear equations.关键词
粒子群算法/邻近点算法/非线性方程组问题Key words
Particle Swarm Optimization(PSO)/Proximal Point Algorithm(PPA)/systems of nonlinear equations分类
信息技术与安全科学引用本文复制引用
张琳..非线性方程组问题的粒子群-邻近点混合算法[J].计算机工程与应用,2013,(24):38-40,96,4.基金项目
陕西理工学院科研基金资助项目（No.SLGJX1025）。 （）
