计算机应用研究Issue(11)：3337-3339,3343,4.DOI:10.3969/j.issn.1001-3695.2014.11.031
一种改进粒子群算法及其在Wie ne r模型辨识中的应用
Improved particle swarm optimization algorithm and its application in Wiener model identification
摘要
Abstract
This paper put forward a new hybrid algorithm taking advantage of bacteria foraging optimization algorithm and the idea of catfish effect to transform its individual evolutionary strategies.It used the hybrid algorithm to test four classical func-tions and modelled Wiener simulation.The results show its superiority in the overall searching ability,convergence rate and so-lution precision than other improved PSO.关键词
改进粒子群算法/细菌觅食算法/鲶鱼效应/Wiener模型Key words
improved PSO/bacteria foraging optimization algorithm/catfish effect/Wiener model分类
信息技术与安全科学引用本文复制引用
吴憬琳,徐保国..一种改进粒子群算法及其在Wie ne r模型辨识中的应用[J].计算机应用研究,2014,(11):3337-3339,3343,4.基金项目
国家自然科学基金资助项目 （）
