A multi-objective evolutionary algorithms with group fuzzy decision making method

被引：0
|
作者：
Qin, Yongfa [1 ]
Gong, Qingsong [1 ]
机构：
[1] Univ Yangzhou, Mech Engn Coll Yangzhou, Yangzhou 225009, Jiangsu Prov, Peoples R China
来源：
PROGRESS IN INTELLIGENCE COMPUTATION AND APPLICATIONS, PROCEEDINGS | 2007年
关键词：
multi-objective evolutionary algorithms; group fuzzy decision making; Pareto optimal front;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
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.
引用
收藏
页码：132 / 137
页数：6
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