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

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页码：132 / 137

页数：6

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