A Fuzzy Programming Approach to Solve Stochastic Multi-objective Quadratic Programming Problems

被引：0
|
作者：
Khalifa, Hamiden A. [1 ]
Elgendi, Elshimaa A. [2 ]
Ebraheim, Abdul Hadi N. [3 ]
机构：
[1] Cairo Univ, Dept OR, ISSR, Giza, Egypt
[2] Cairo Univ, Dept ORDS, FCI, Giza, Egypt
[3] Cairo Univ, Dept Math Stat, ISSR, Giza, Egypt
来源：
INTELLIGENT COMPUTING, VOL 1 | 2019年 / 858卷
关键词：
Stochastic multi-objective quadratic programming problem; Chance-constrained programming; Fuzzy Programming approach; Linear membership function; Compromise solution;
D O I：
10.1007/978-3-030-01174-1_20
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This article handles the stochastic multi-objective quadratic programming problem (S-MOQP) using a fuzzy programming approach. In S-MOQP problem, both the objective function coefficients matrix and parameters in the constraints both are normally distributed random variables. The S-MOQP problem is converted into the corresponding ordinary multi-objective quadratic programming problem (MOQP). Then, a compromise solution for the MOQP problem is found via a fuzzy programming approach using a linear membership function. The applicability of the proposed algorithm is illustrated by two numerical examples.
引用
收藏
页码：262 / 271
页数：10
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