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.
出处
《吉林化工学院学报》
CAS
2007年第1期38-40,53,共4页
Journal of Jilin Institute of Chemical Technology
关键词
微粒群优化算法
径向波函数
一维势箱
particle swarm optimization
radial wave function
one-dimensional box
