Particle Swarm Optimization with Highly-Clustered Scale-free Neighborhood Model

摘要：

Enlightened by the properties of scalefree network model, a novel particle swarm optimization with highly-clustered scale-free network model (HCSN-PSO) is proposed combining preferential attachment for degree and close nodes. Experimental simulations show that the new method obtains better convergence performance.

关键词： Particle swarm optimization Scale-free network model Preferential attachment

作者: Zhang Lu Mu Hua-ping Jiao Chang-yi

作者单位: Department of Computer Science An-Yang Radio&Television University An-Yang, hina.455300 Department of Electronic Engineering He-Bi Polytechnic He-Bi,China.458030

会议类型: 国际会议

会议名称: 2010 3rd IEEE International Conference on Computer Science and Information Technology(第三届IEEE计算机科学与信息技术国际会议 ICCSIT 2010)

会议地点: 成都

会议语种:英文

页码: 661-663

在线出版日期: 2010-07-07（万方平台首次上网日期，不代表论文的发表时间）