| 混沌粒子群优化算法及其在平面选址问题上的应用 |
| |
| 引用本文： | 张滨燕,陈照辉,李大卫.混沌粒子群优化算法及其在平面选址问题上的应用[J].河南科学,2006,24(5):707-710. |
| |
| 作者姓名： | 张滨燕 陈照辉 李大卫 |
| |
| 作者单位： | 1. 河南职业技术学院,信息工程系,郑州,450046
2. 鞍山科技大学理学院,辽宁,鞍山,114044 |
| |
| 摘 要： | 通过引入混沌来影响粒子速度的更新,构造出一种混沌粒子群优化算法.其主要思想是用混沌迭代引导个体进一步优化,从而避免群体陷入局部最优,而且收敛速度得到加快.通过对三个测试函数以及平面选址问题的求解,验证该算法具有非常好的性能.
|
| 关 键 词： | 粒子群算法 混沌 随机搜索 测试函数 平面选址 |
| 文章编号： | 1004-3918(2006)05-0707-04 |
| 收稿时间： | 2006-04-15 |
| 修稿时间： | 2006年4月15日 |
Particle Swarm Optimization Algorithm with Chaos and Its Application in Planar Location Problem |
| |
| ZHANG Bin-yan,CHEN Zhao-hui,LI Da-wei.Particle Swarm Optimization Algorithm with Chaos and Its Application in Planar Location Problem[J].Henan Science,2006,24(5):707-710. |
| |
| Authors: | ZHANG Bin-yan CHEN Zhao-hui LI Da-wei |
| |
| Institution: | 1. Department of Information Engineering, Henan Vocational Technology College, Zhengzhou 450046, China 2. Faculty of Science, Anshan University of Science and Technology, Anshan 114044, China |
| |
| Abstract: | A kind of particle swarm optimization algorithm with chaos is constructed by adding chaos to influence the update of the velocities of particles. The main idea is to guide individual further optimization by chaos iterations. The technique can either avoid that the population trap into the local optimum or accelerate the convergence rate. It has better application in planar location problem. |
| |
| Keywords: | particle swarm algorithm chaos stochastic searching test function planar location problem |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
