A Multi-objective Particle Swarm Optimization Based on Swarm Energy Conservation

摘要：

An improved algorithm—multi-objective particle swarm optimization based on swarm energy conservation (SEC-MOPSO) is proposed, which is aimed to solve the problem of convergence and distribution in multi-objective particle swarm optimization (MOPSO) algorithm. Swarm energy conservation mechanism is used to update the velocity and position of particles. Besides, non-dominated sorting method, adaptive grid mechanism and elitism mechanism are also incorporated into SEC-MOPSO algorithm to improve search capabilities and avoid falling into the second-best non-dominated front. The simulation results show that SEC-MOPSO has better performance than MOPSO in distribution and convergence.

关键词： multi-objective optimization MOPSO swarm energy conservation

作者: Xue Yaoyu Zhao Liqiang Wu Jiahuan Wang Jianlin

作者单位: School of Information Science and Technology Beijing University of Chemical Technology Beijing, 100029 China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Automation Engineering(ICCAE 2011)(2011年第三届IEEE计算机与自动化工程国际会议)

会议地点: 重庆

会议语种:英文

页码: 357-361

在线出版日期: 2011-01-21（万方平台首次上网日期，不代表论文的发表时间）