计算机应用研究2011，Vol.28Issue(10)：3662-3664,3.DOI:10.3969/j.issn.1001-3695.2011.10.015
一种最大最小萤光素值人工萤火虫算法
Glowworm swarm optimization algorithm based on max-min luciferin
摘要
Abstract
The algorithm of glowworm swarm optimization is easy to fall into local optimization, and has the low speed of convergence in the late. In order to solve these problems, this paper raised a glowworm swarm optimization algorithm based on max-min luciferin. This algorithm in luciferin value update process joined the maximum minimum luciferin value range to avoid the algorithm into local minimum. Through eight typical functions testing, experiment results show that the proposed algorithm has strong global searching capability, and can effectively avoid precocious phenomenon, thus obviously improving the optimization global ability.关键词
人工萤火虫算法/最大最小萤光素值/函数优化Key words
glowworm swarm optimization (GSO) / max-min luciferin/ function optimization分类
信息技术与安全科学引用本文复制引用
刘佳昆,周永权..一种最大最小萤光素值人工萤火虫算法[J].计算机应用研究,2011,28(10):3662-3664,3.基金项目
广西自然科学基金资助项目(0991086) （0991086）
