%0 Journal Article
%T Discrete Particle Swarm Optimization Based on Chaotic Ant Behavior and its Application<br>基于蚁群混沌行为的离散粒子群算法及其应用
%A XU Qing-he
%A LIU Shi-rong
%A LV Qiang
%A <br>徐青鹤
%A 刘士荣
%A 吕强
%J 计算机科学
%D 2010
%I 
%X Considering their own characteristics of ant colony algorithm and particle swarm optimization algorithm,the update equations of the speed and position of particles were redefined on the basis of PSO algorithm.A discrete particle swarm optimization algorithm based on chaotic ant behavior was proposed using the idea of pheromone refresh mechanism of ant colony algorithm for reference.Knapsack problem was used to test the performance of the algorithm.Compared with other algorithms,the results of the experiment...
%K Pheromone mechanism
%K Chaotic
%K Discrete particle swarm optimization
%K Knapsack problem<br>信息素机制
%K 混沌
%K 离散粒子群
%K 背包问题
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=A0AA0EBC798B890CE2ECC59186090244&yid=140ECF96957D60B2&vid=42425781F0B1C26E&iid=94C357A881DFC066&sid=4609832E4B5C797B&eid=F1A8654ADB4E656E&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=12