Multi-Person Assign to Multi-Job Problem Model and Its Particle Swarm Optimization

摘要：

Assignment problem (AP) model and particle swarm optimization (PSO) are developed for multi-person assign to multi-job Problem,which deal with the problem of getting into local minima.In AP model,one person can assign to one or more than one job,and one job can be done by one or more than one person.Multiperson assign to multi-job is searched by PSO,optimization processes are depended and tend to get the global solution.Illustration results show that AP model and algorithm are effective and offer a way to multi-person assign to multi-job Problem.

关键词： Assignment Problem (AP) Multi-person assign to multijob Particle Swarm Optimization (PSO)

作者: Suxin Wang Leizhen Wang Jianyong Sun Qing Wang Li Zhao Xuemei Chen

作者单位: Northeastern University at Qinhuangdao Qinhuangdao Hebei,China Hebei Guangde Stainless Steel Valve Industry CO.,LTD Cangzhou,P.R.China School of Mechanical and vehicular Engineering Beijing Institute of Technology Beijing,P.R.China Jia

会议类型: 国际会议

会议名称: 2010 4th International Conference on Intelligent Information Techonlogy Application(第四届智能信息技术应用国际学术研讨会 IITA 2010)

会议地点: 秦皇岛

会议语种:英文

页码: 280-282

在线出版日期: 2010-11-05（万方平台首次上网日期，不代表论文的发表时间）