%0 Journal Article
%T Particle Swarm Optimization Algorithm Based on Extreme Value of Sub-swarm and Sharing Redistribution<br>基于子群极值和Sharing重分布的粒子群优化算法
%A GONG Yan
%A ZHANG Hao
%A <br>龚燕
%A 张浩
%J 计算机科学
%D 2010
%I 
%X To improve the efficiency of Particle Swarm Optimization, this paper proposed a novel Particle Swarm Optimization algorithm(ESPSO). The basic idea is Sub-Swarm mechanism and Sharing Redistribution. The main contribudons include, (1) Divides whole Swarm into n sulrSwarm; Each sub-Swarm search solution Independently; (2) Introduces extreme value of Sub-Swarm strategies to enable particle interaction; (3) Introduces Sharing Function to redistribute some Particle. The experiments on four benchmark functions show that the new algorithm increases success rate by 64%~93% compared with IPPSO.
%K PSO
%K Sub-swarm
%K Extreme value
%K Sharing<br>粒子群算法，子群，极值，Sharing
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=2DA796386B190A2B91375C51AAE86ACF&yid=140ECF96957D60B2&vid=42425781F0B1C26E&iid=59906B3B2830C2C5&sid=A1266CF37D675CF1&eid=6ED15D8DCB279BC4&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=0