Robust optimization model for uncertain multiobjective linear programs

Abstract In this paper, we consider the multiobjective linear programs where coefficients in the objective function belong to uncertainty sets. We introduce the concept of robust efficient solutions to uncertain multiobjective linear programming problems. By using two scalarization methods, the weig...

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Main Authors: Lei Wang, Min Fang
Format: Article
Language:English
Published: SpringerOpen 2018-01-01
Series:Journal of Inequalities and Applications
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13660-018-1612-3
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spelling doaj-1770d66a4a954a238f202efd2cec01142020-11-25T01:28:58ZengSpringerOpenJournal of Inequalities and Applications1029-242X2018-01-012018111110.1186/s13660-018-1612-3Robust optimization model for uncertain multiobjective linear programsLei Wang0Min Fang1School of Economic Mathematics, Southwestern University of Finance and EconomicsSchool of Economic Mathematics, Southwestern University of Finance and EconomicsAbstract In this paper, we consider the multiobjective linear programs where coefficients in the objective function belong to uncertainty sets. We introduce the concept of robust efficient solutions to uncertain multiobjective linear programming problems. By using two scalarization methods, the weighted sum method and the ϵ-constraint method, we obtain that the robust efficient solutions for uncertain multiobjective linear programs with ellipsoidal uncertainty sets and general norm uncertainty sets can be computed by some deterministic optimization problems.http://link.springer.com/article/10.1186/s13660-018-1612-3multiobjective linear programsrobust efficient solutionsscalarizationuncertainty sets
collection DOAJ
language English
format Article
sources DOAJ
author Lei Wang
Min Fang
spellingShingle Lei Wang
Min Fang
Robust optimization model for uncertain multiobjective linear programs
Journal of Inequalities and Applications
multiobjective linear programs
robust efficient solutions
scalarization
uncertainty sets
author_facet Lei Wang
Min Fang
author_sort Lei Wang
title Robust optimization model for uncertain multiobjective linear programs
title_short Robust optimization model for uncertain multiobjective linear programs
title_full Robust optimization model for uncertain multiobjective linear programs
title_fullStr Robust optimization model for uncertain multiobjective linear programs
title_full_unstemmed Robust optimization model for uncertain multiobjective linear programs
title_sort robust optimization model for uncertain multiobjective linear programs
publisher SpringerOpen
series Journal of Inequalities and Applications
issn 1029-242X
publishDate 2018-01-01
description Abstract In this paper, we consider the multiobjective linear programs where coefficients in the objective function belong to uncertainty sets. We introduce the concept of robust efficient solutions to uncertain multiobjective linear programming problems. By using two scalarization methods, the weighted sum method and the ϵ-constraint method, we obtain that the robust efficient solutions for uncertain multiobjective linear programs with ellipsoidal uncertainty sets and general norm uncertainty sets can be computed by some deterministic optimization problems.
topic multiobjective linear programs
robust efficient solutions
scalarization
uncertainty sets
url http://link.springer.com/article/10.1186/s13660-018-1612-3
work_keys_str_mv AT leiwang robustoptimizationmodelforuncertainmultiobjectivelinearprograms
AT minfang robustoptimizationmodelforuncertainmultiobjectivelinearprograms
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