水力发电2017，Vol.43Issue(2)：89-93,5.
基于改进Tent映射的自适应变尺度混沌粒子群算法
An Improved Adaptive Chaos Particle Swarm Optimization Algorithm Based on Improved Tent Map
李国晓 1韦世丹1
作者信息
- 1. 广东水利电力职业技术学院,广东广州 510635
- 折叠
摘要
Abstract
In order to improve the defect of basic Particle Swarm Optimization algorithm,an Improved Adaptive Chaos Particle Swarm Optimization (IACPSO) algorithm based on improved Tent map is proposed herein,which including population chaos initialization method,adaptive parameter adjusting strategy,precocious judgment mechanism and mutative scale chaos local search based on improved Tent map.The results of some high-dimensional Benchmark functions show that the IACPSO algorithm is better than other improved PSO on computation accuracy,optimization stability and convergence speed.关键词
粒子群优化算法/Tent映射/变尺度/混沌/自适应Key words
Particle Swarm Optimization algorithm/Tent map/mutative scale/chaos/adaptive分类
信息技术与安全科学引用本文复制引用
李国晓,韦世丹..基于改进Tent映射的自适应变尺度混沌粒子群算法[J].水力发电,2017,43(2):89-93,5.
