%0 Journal Article
%T Self-adaptive Step Glowworm Swarm Optimization Algorithm for Optimizing Multimodal Functions<br>自适应步长萤火虫群多模态函数优化算法
%A HUANG Zheng-xin
%A ZHOU Yong-quan
%A <br>黄正新
%A 周永权
%J 计算机科学
%D 2011
%I 
%X Because the GSO algorithm has slow convergence and low precision defects when optimizing the multi modal function, a self-adaptive step glowworm swarm optimization(SASGSO ) algorithms was proposed in this paper. This algorithm can overcome slow convergence and low precision defects of the GSO algorithm simultaneously it can find all peaks of the multi-modal function. Experiments show that,the SASGSO algorithm has the advantages of simple operation,easy to understand,fast convergence rates and high precision.
%K Glowworm
%K Multimodal function
%K GSO
%K SASGSO<br>人工萤火虫，多模态函数，GSO
%K SASGSO
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=A02D22894B67471414C4FEE4909480D8&yid=9377ED8094509821&vid=16D8618C6164A3ED&iid=DF92D298D3FF1E6E&sid=1D67BE204FBF4800&eid=A1266CF37D675CF1&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=12