计算机工程与应用2011，Vol.47Issue(21)：58-60,3.DOI:10.3778/j.issn.1002-8331.2011.21.015
一种混沌惯性权重的简化粒子群算法
Simplified particle swarm optimization algorithm using chaotic inertia weight
刘瑞芳 1王希云1
作者信息
- 1. 太原科技大学应用科学学院数学系,太原030024
- 折叠
摘要
Abstract
As a global parameter of PSO,inertia weight can easily control algorithm of search ability and convergence speed, and plays an important role of operation process in algorithm.A simplified particle swarm optimization using chaotic inertia weight is proposed based on the analysis of the effect of inertial weight setting.The new algorithm improves the searching capability by chaos sequences of intrinsic stochastic effect, ergodicity and regularity.Test results show that the new algorithm has faster convergence speed and better global optimization ability in the multi-dimensional space.关键词
混沌/惯性权值/简化粒子群算法Key words
chaos/inertia weight simplified Particle Swarm Optimization (PSO)分类
计算机与自动化引用本文复制引用
刘瑞芳,王希云..一种混沌惯性权重的简化粒子群算法[J].计算机工程与应用,2011,47(21):58-60,3.
