6th Iranian Joint Congress on Fuzzy and Intelligent Systems (CFIS) , 2018-02-28

Title : ( Solving fuzzy number linear programming problems using a variable neighborhood search algorithm )

Authors: Khatere GhorbaniMoghadam , Reza Ghanbari , نظام الدین مهدوی امیری ,

Citation: BibTeX | EndNote

Abstract

We want to solve fuzzy linear programming problems with fuzzy coefficients in the objective function using a new variable neighborhood search algorithm. In our proposed algorithm, the local search is defined based on descent directions.We make use of our recently proposed modified Kerre’s method for finding descent directions. The fuzzy optimization problem is solved directly, without changing it to a crisp program. We show the effectiveness of our proposed method in comparison with some available methods by using a non-parametric statistical sign test. The objective function values obtained by our proposed method turn to be more accurate the ones obtained by other methods.

Keywords

, Fuzzy linear programming problem, Modified Kerre’s method, Variable neighborhood search algorithm
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@inproceedings{paperid:1069824,
author = {GhorbaniMoghadam, Khatere and Ghanbari, Reza and نظام الدین مهدوی امیری},
title = {Solving fuzzy number linear programming problems using a variable neighborhood search algorithm},
booktitle = {6th Iranian Joint Congress on Fuzzy and Intelligent Systems (CFIS)},
year = {2018},
location = {کرمان, IRAN},
keywords = {Fuzzy linear programming problem; Modified Kerre’s method; Variable neighborhood search algorithm},
}

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%0 Conference Proceedings
%T Solving fuzzy number linear programming problems using a variable neighborhood search algorithm
%A GhorbaniMoghadam, Khatere
%A Ghanbari, Reza
%A نظام الدین مهدوی امیری
%J 6th Iranian Joint Congress on Fuzzy and Intelligent Systems (CFIS)
%D 2018

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