Multi-core based Parallelized Cooperative PSO with Immunity for Large Scale Optimization Problem

摘要：

　　A parallelized cooperative multiple particles swarm optimization algorithm with immunity mechanism based on the multi-core architecture is proposed for large scale optimization problem in this paper,named M-PCPSO-I.A novel memory information sharing scheme is designed for particles and facilitates communication among different swarms in the population space.The global best individuals selected from sub-swarms are saved in the leader set and promoted by using the improved immune clonal selection operator.The M-PCPSO-I algorithm is paralleling implementation on a share-memory computer system through the multi-core architecture.The high dimension problem results validated the proposed algorithm have good computational performance,and also the computational efficiency is greatly enhanced by multi-core parallelization.

关键词： particle swarm optimization (PSO) artificial immune system (AIS) information sharing parallel high dimension problem

作者: Zhao-Hua Liu Xiao-hua Li ing-XingZhao Wen Tan

作者单位: School of Information and Electrical Engineering,Hunan University of Science and Technology,XiangTan,China

会议类型: 国际会议

会议名称: 2014 International Conference on Cloud Computing and Internet of Things (CCIOT)(2014年第一届云计算和物联网国际会议)

会议地点: 长春

会议语种:英文

页码: 96-100

在线出版日期: 2014-12-13（万方平台首次上网日期，不代表论文的发表时间）