燕山大学学报2016，Vol.40Issue(4)：329-335,7.DOI:10.3969/j.issn.1007-791X.2016.04.006
基于混沌理论的涡流搜索算法
Vortex search algorithm based on chaos theory
摘要
Abstract
The chaos variables own some characteristics, such as ergodicity, random and regularity. Based on these characteristics, a chaotic vortex search algorithm is proposed.The algorithm applies chaotic mapping mechanism to update the candidate solutions of the vortex search algorithm, which can increase its population diversity and enhance its search ability and improve its convergence speed. In order to validate its performance, 9 famous test functions are adopted as the fitness function. Compared with particle swarm optimization algorithm, artificial bee colony algorithm and firefly algorithm, the experiment results show that the chaotic vortex search algorithm possesses preferable convergence rate, convergence speed and search ability.关键词
涡流搜索算法/混沌/映射/优化算法Key words
vortex search algorithm/chaos/mapping/optimization algorithm分类
信息技术与安全科学引用本文复制引用
牛培峰,刘魏岩,马云飞,李国强,张先臣..基于混沌理论的涡流搜索算法[J].燕山大学学报,2016,40(4):329-335,7.基金项目
国家自然科学基金资助项目（61573306，61403331）；河北省科技支撑计划资助项目 （）
