An algorithm for a multicriteria optimization problem and its application to a facility location problem

In this paper, a new algorithm is proposed for solving a multicriteria optimization problem where the feasible set is an $m-$dimensional cube. In fact, the idea of the multicriteria big cube small cube method is employed to develop the new algorithm. It is proved that, for a given epsilon vector, th...

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Bibliographic Details
Main Authors: Nemat Ghafari, M.A. Yaghoobi
Format: Article
Language:English
Published: Shahid Bahonar University of Kerman 2022-11-01
Series:Journal of Mahani Mathematical Research
Subjects:
Online Access:https://jmmrc.uk.ac.ir/article_3481_254404c947893008b5355039a1ab3531.pdf
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Summary:In this paper, a new algorithm is proposed for solving a multicriteria optimization problem where the feasible set is an $m-$dimensional cube. In fact, the idea of the multicriteria big cube small cube method is employed to develop the new algorithm. It is proved that, for a given epsilon vector, the output of the suggested algorithm involves all epsilon efficient solutions as well as all efficient solutions. Furthermore, the algorithm is applied to a multicriteria location problem. The results show that the recommended algorithm can obtain more epsilon efficient solutions in comparison with the main multicriteria big cube small cube method.
ISSN:2251-7952
2645-4505