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
来源：
COMPUTERS & OPERATIONS RESEARCH | 1997年 / 24卷 / 05期
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
相关论文
共 50 条
  • [1] Inexact approach for linear programming problems with fuzzy objective and resources
    Northeastern Univ, Shenyang, China
    Fuzzy Sets Syst, 1 (61-68):
  • [2] An inexact approach for linear programming problems with fuzzy objective and resources
    Wang, DW
    FUZZY SETS AND SYSTEMS, 1997, 89 (01) : 61 - 68
  • [3] Approaches based on fuzzy genetic algorithm for multi-objective programming problems
    Hou, JR
    Huang, PQ
    Zhao, XF
    PROCEEDINGS OF 2003 INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE & ENGINEERING, VOLS I AND II, 2003, : 633 - 637
  • [4] An interactive fuzzy satisficing approach using Genetic Algorithm for multi-objective problems
    Kiyota, T
    Tsuji, Y
    Kondo, E
    JOINT 9TH IFSA WORLD CONGRESS AND 20TH NAFIPS INTERNATIONAL CONFERENCE, PROCEEDINGS, VOLS. 1-5, 2001, : 757 - 762
  • [5] Interactive fuzzy programming approach to Bi-level quadratic fractional programming problems
    Mishra, S
    Ghosh, A
    ANNALS OF OPERATIONS RESEARCH, 2006, 143 (01) : 251 - 263
  • [6] Interactive fuzzy programming approach to Bi-level quadratic fractional programming problems
    Savita Mishra
    Ajit Ghosh
    Annals of Operations Research, 2006, 143 : 251 - 263
  • [7] A Fuzzy Programming Approach to Solve Stochastic Multi-objective Quadratic Programming Problems
    Khalifa, Hamiden A.
    Elgendi, Elshimaa A.
    Ebraheim, Abdul Hadi N.
    INTELLIGENT COMPUTING, VOL 1, 2019, 858 : 262 - 271
  • [8] An interactive algorithm for large scale multiple objective programming problems with fuzzy parameters through TOPSIS approach
    Abo-Sinna, Mahmoud A.
    Abou-El-Enien, Tarek H. M.
    APPLIED MATHEMATICS AND COMPUTATION, 2006, 177 (02) : 515 - 527
  • [9] Solving fuzzy quadratic programming problems based on ABS algorithm
    Ghanbari, Reza
    Ghorbani-Moghadam, Khatere
    SOFT COMPUTING, 2019, 23 (22) : 11343 - 11349
  • [10] Solving fuzzy quadratic programming problems based on ABS algorithm
    Reza Ghanbari
    Khatere Ghorbani-Moghadam
    Soft Computing, 2019, 23 : 11343 - 11349
12345