%0 Journal Article
%T Improved Glowworm Swarm Optimization Based on the Behavior of Follow<br>基于追尾行为的改进型人工萤火虫群算法
%A LI Yong-mei
%A ZHOU Yong-quan
%A YAO Xiang-guang
%A <br>李咏梅
%A 周永权
%A 姚祥光
%J 计算机科学
%D 2011
%I 
%X To improve the glowworm swarm optimization, the behavior of follow of the artificial fish school algorithm and a swarm degree were used. The improved algorithm was used to optimise multi modal functions. The experiment resups show that the algorithm, with the smaller populations and the fewer number of iterations, can simultaneous capture multiple optima of several standard multimodal test function.
%K Glowworm swarm optimization
%K Behavior of follow
%K Swarm degree
%K Multimodal function optimization<br>人工萤火虫群算法，追尾行为，拥挤度因子，多峰函数优化
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=62DC2C14A4B765F0AEF2E256D512268F&yid=9377ED8094509821&vid=16D8618C6164A3ED&iid=38B194292C032A66&sid=FBA00558C57D9C11&eid=4B1FFFA116F7AE3B&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=12