%0 Journal Article
%T Random Particle Swarm Optimization Algorithm and Its Application
一种随机粒子群算法及应用
%A LI Pan-Chi
%A WANG Hai-Ying
%A YANG Yu
%A
李盼池
%A 王海英
%A 杨雨
%J 计算机系统应用
%D 2012
%I
%X To improve the efficiency of particle swarm optimization, a random particle swarm optimization algorithm is proposed on the basis of analyzing the search process of quantum particle swarm optimization lgorithm. The proposed algorithm has only a parameter, and its search step length is controlled by a random variable value. In this model, the target position can be accurately tracked by the reasonable design of the control parameter. The experimental results of standard test function extreme optimization and clustering optimization show that the proposed algorithm is superior to the quantum particle swarm optimization and the common particle swarm optimization algorithm in optimization ability and optimization efficiency.
%K random particle swarm optimization
%K particle swarm optimization
%K swarm intelligent optimization
%K bionicintelligent optimization
%K algorithm design
随机粒子群优化
%K 粒子群优化
%K 群智能优化
%K 仿生智能优化
%K 算法设计
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D4F6864C950C88FFCE5B6C948A639E39&aid=6490A3A6E5E7C98183FE882CFA54F4C4&yid=99E9153A83D4CB11&vid=659D3B06EBF534A7&iid=0B39A22176CE99FB&sid=E2E0FBFE4D7EFB94&eid=D5D30BF844C19121&journal_id=1003-3254&journal_name=计算机系统应用&referenced_num=1&reference_num=9