An iterative approach to solve multiobjective linear fractional programming problems

被引：27
|
作者：
Valipour, E. [1 ]
Yaghoobi, M. A. [1 ]
Mashinchi, M. [2 ]
机构：
[1] Shahid Bahonar Univ Kerman, Fac Math & Comp, Dept Math, Kerman, Iran
[2] Shahid Bahonar Univ Kerman, Fac Math & Comp, Dept Stat, Kerman, Iran
来源：
APPLIED MATHEMATICAL MODELLING | 2014年 / 38卷 / 01期
关键词：
Multiple objective programming; Fractional programming; Efficiency; Iterative methods; Linear programming; ALGORITHM; SUM;
D O I：
10.1016/j.apm.2013.05.046
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
This paper suggests an iterative parametric approach for solving multiobjective linear fractional programming (MOLFP) problems which only uses linear programming to obtain efficient solutions and always converges to an efficient solution. A numerical example shows that this approach performs better than some existing algorithms. Randomly generated MOLFP problems are also solved to demonstrate the performance of new introduced algorithm. (C) 2013 Elsevier Inc. All rights reserved.
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页码：38 / 49
页数：12
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