计算机工程与应用2011，Vol.47Issue(23)：48-50,3.DOI:10.3778/j.issn.1002-8331.2011.23.014
一种小规模多种群萤火虫群优化算法
Small-scale and multi-population glowworm swarm optimization algorithm
摘要
Abstract
With the increase of the extreme points, the convergence speed and the computing accuracy of the Glowworm Swarm Optimization(GSO) algorithm are low and not high.Aiming at the shortcomings of the GSO algorithm,this paper proposes a new improved algorithm of small-scale and Multi-Population Glowworm Swarm Optimization(MPGSO).It is shown by simulation that,compared with GSO,the improved algorithm for solving multi-modal functions can not only obviously reduce the computing time,but also improve the computing accuracy.关键词
萤火虫群优化算法/函数优化:智能算法/多峰函数Key words
Glowworm Swarm Optimization(GSO)/function optimization/intelligent algorithm/multi-modal function分类
信息技术与安全科学引用本文复制引用
祝华正,何登旭..一种小规模多种群萤火虫群优化算法[J].计算机工程与应用,2011,47(23):48-50,3.基金项目
广西自然科学基金(No.桂科自0728054). （No.桂科自0728054）
