PSO algorithm based on GSO and application in the Constrained optimization

摘要：

　　In particle swarm algorithm,the introduction of glowworm algorithm,according to domain to determine a perception range,within the scope of perception of all the particles find an extreme value point sequence,which apply roulette method,choose a particle instead of global extreme value.So as to scattered particle,and avoid the local minima.Experimental results demonstrate the feasibility and effectiveness of the method.

关键词： Particle swarm optimization Glowworm swarm optimization Constrained optimization

作者: Hongxia Liu Feng Zhou

作者单位: Department of the Computer application Engineering Daqing Vocational College DaQing,HeilongJiang Faculty of Information Technology Shandong Institute of Commerce and Technology JiNan,ShanDong

会议类型: 国际会议

会议名称: 2013 2nd International Conference on Computer Science and Electronics Engineering(ICCSEE2013)(2013年第二届计算机科学与电子工程国际会议)

会议地点: 杭州

会议语种:英文

页码: 754-757

在线出版日期: 2013-03-22（万方平台首次上网日期，不代表论文的发表时间）