Application of Multi-Agent Genetic Algorithm in TSP

摘要：

Every paper Based on agents capability of perceiving and reacting on environinent,Multi-Agent Genetic algorithm(MAGA)was proposed as a new method of function optimization.MAGA had a rapid convergence velocity especially when it optimized super-high dimensional functions and this shows the great potentia that agent is combined with genetic algorithms for solving combinatorial optimization problems.Redesign the multi-agent genetic algorithM to solve the TSP and study its capability particular.

关键词： multi-agent genetic algorithm TSP optimization efficiency

作者: Xiao Li Jinliang Wu Ying Man Zhongbao Zhou

作者单位: 63891 Army, Luoyang 471003, P.R. China School of Business Administration, Hunan University, Chasha 410082, P.R.China

会议类型: 国际会议

会议名称: The First World Congress on Global Optimization in Engineering & Science(第一届工程与科学全局优化国际会议 WCGO2009)

会议地点: 长沙

会议语种:英文

页码: 868-873

在线出版日期: 2009-06-01（万方平台首次上网日期，不代表论文的发表时间）