Multi-objective Optimization Evolution Algorithm based on an Improved Arena Principle

摘要：

　　One of the key issues in MOEA is how to construct the non-dominated set.MOEA based on arena principle is efficient, but this algorithm isn”t good enough in the quality of solutions.A MOEA based on an improved arena principle is put forward.The numerical experiments show that this improved algorithm has higher operational efficiency and solution quality than NSGA-Ⅱ.

关键词： MOEA non-dominated set arena principle Pareto optimal fronts operational efficiency solution quality USC2010

作者: Xu Feng Wang Dongfeng

作者单位: School of Science, Anhui University of Science and Technology

会议类型: 国内会议

会议名称: 第四届中国智能计算大会

会议地点: 芜湖

会议语种:英文

页码: 274-278

在线出版日期: 2010-05-21（万方平台首次上网日期，不代表论文的发表时间）