%0 Journal Article
%T Population Size Selection of Particle Swarm Optimizer Algorithm<br>粒子群优化算法种群规模的选择
%A ZHANG Wen-Fen
%A WANG Gang
%A ZHU Zhao-Hui
%A XIAO Juan
%A <br>张雯雰
%A 王刚
%A 朱朝晖
%A 肖娟
%J 计算机系统应用
%D 2010
%I 
%X This paper gives advice on population size selection from literatures and analyzes the relations between population size, dimension, precision and stability. It proposes a method of population size selection. Two benchmark functions are employed to perform function optimization with different dimensions: 20, 60, 100 and 200. For each dimension, population size is set to 20, 40, 60 and 80. This paper analyzes the results and proposes a general population size. Furthermore, an approach based on experiments is proposed for population size selection. With the approach, a relation graph of population size, time and precision can be used to determine the optimum population size.
%K PSO
%K population size
%K dimension
%K function optimization<br>粒子群优化算法
%K 种群规模
%K 维度
%K 函数优化
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D4F6864C950C88FFCE5B6C948A639E39&aid=868BE5DE0A2E773A57215F55E8F79E8B&yid=140ECF96957D60B2&vid=2A8D03AD8076A2E3&iid=94C357A881DFC066&sid=F122871CC7EC92DC&eid=1F199509C0B6C4D6&journal_id=1003-3254&journal_name=计算机系统应用&referenced_num=0&reference_num=7