微粒群优化算法及其在复杂化学方程求根中的应用  

Particle swarm optimization algorithm and its application in extracting roots of complicated chemical equations

作　　者：高世博[1] 张运陶[1] 

机构地区：[1]西华师范大学应用化学研究所,四川南充637002

出　　处：《吉林化工学院学报》2007年第1期38-40,53,共4页Journal of Jilin Institute of Chemical Technology

摘　　要：本文对微粒群优化算法及其改进算法进行了介绍.用M atlab语言对改进的微粒群优化算法实现编程,并用于处理复杂化学方程求根问题,分别对激发态氢原子3S电子的径向波函数节点和一维势箱中粒子的能级进行求解,所得结果与文献值一致.Particle swarm optimization （PSO） arithmetic and its reformative arithmetic are presented in this paper. The reformative arithmetic of PSO programs are redacted by MATLAB and are used to deal with the problem in extracting roots of complicated chemical equations. Two problems, the nodes in 3S radial function for the exited hydrogen atom and the energy levels of a particle in a one-dimensional box with a finite potential barrier, are as examples to test the abilities of PSO. The results gotten by the programs are the same with the results in the literature.

关 键 词：微粒群优化算法 径向波函数 一维势箱 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] O641[自动化与计算机技术—控制科学与工程]