An interactive approach based on a genetic algorithm for a type of quadratic programming problems with fuzzy objective and resources

被引:33
|
作者
Tang, JF
Wang, DW
机构
[1] Sch. of Info. Sci. and Engineering, NE University (NEU) Shenyang, Liaoning 110006
[2] Res. Inst. of Systems Engineering, Department of Automatic Control, Northeastern University, Shenyang
关键词
D O I
10.1016/S0305-0548(96)00059-7
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
A type of model of fuzzy quadratic programming problems (FQP) is proposed. It describes the fuzzy objective and resource constraints with different types of membership functions according to different types of fuzzy objective and fuzzy resource constraints in actual production problems. This article develops an inexact approach to solve this type of model of quadratic programming problems with fuzzy objective and resource constraints. Instead of finding an exact optimal solution, we use a Genetic Algorithm (GA) with mutation along the weighted gradient direction to find a family of solutions with acceptable membership degrees. Then by means of the human-computer interaction, the solutions preferred by the DM under different criteria can be achieved. (C) 1997 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:413 / 422
页数:10
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