A Multi-objective Evolutionary Algorithms with Group Fuzzy Decision Making Method

摘要：

Aiming to deal with the complexity of the problem of multi-objective optimization, a new fuzzy multi-objective evolutionary algorithm with group decision making method is constructed in this paper. A hybrid evolutionary strategy, which integrates Genetic Algorithms and Simulated Annealing Algorithms is described. A group fuzzy decision making method for solution ranking during searching the Pareto optimal front for multi-objective optimization problems is proposed. A program is constructed based on the proposed method, and a computation example is presented in the paper.

关键词： multi-objective evolutionary algorithms group fuzzy decision making Pareto optimal front

作者: Yongfa Qin Qingsong Gong

作者单位: Mechanical Engineering College Yangzhou University Yangzhou, Jiangsu Province, 225009, China Mechanical Engineering College Yangzhou University Yangzhou, Jiangsu Province, 225009, China.

会议类型: 国际会议

会议名称: The Second International Symposium on Intelligence Computation and Applications(ISICA 2007)(第二届智能计算及其应用国际会议)

会议地点: 武汉

会议语种:英文

在线出版日期: 2007-09-21（万方平台首次上网日期，不代表论文的发表时间）