Multiobjective Convex Optimization in Real Banach Space
In this paper, we consider convex multiobjective optimization problems with equality and inequality constraints in real Banach space. We establish saddle point necessary and sufficient Pareto optimality conditions for considered problems under some constraint qualifications. These results are motiva...
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2021
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oai:doaj.org-article:b8d2ca8cb74d49d789c2df1cf311941b2021-11-25T19:07:08ZMultiobjective Convex Optimization in Real Banach Space10.3390/sym131121482073-8994https://doaj.org/article/b8d2ca8cb74d49d789c2df1cf311941b2021-11-01T00:00:00Zhttps://www.mdpi.com/2073-8994/13/11/2148https://doaj.org/toc/2073-8994In this paper, we consider convex multiobjective optimization problems with equality and inequality constraints in real Banach space. We establish saddle point necessary and sufficient Pareto optimality conditions for considered problems under some constraint qualifications. These results are motivated by the symmetric results obtained in the recent article by Cobos Sánchez et al. in 2021 on Pareto optimality for multiobjective optimization problems of continuous linear operators. The discussions in this paper are also related to second order symmetric duality for nonlinear multiobjective mixed integer programs for arbitrary cones due to Mishra and Wang in 2005. Further, we establish Karush–Kuhn–Tucker optimality conditions using saddle point optimality conditions for the differentiable cases and present some examples to illustrate our results. The study in this article can also be seen and extended as symmetric results of necessary and sufficient optimality conditions for vector equilibrium problems on Hadamard manifolds by Ruiz-Garzón et al. in 2019.Kin Keung LaiMohd HassanJitendra Kumar MauryaSanjeev Kumar SinghShashi Kant MishraMDPI AGarticlemultiobjective programmingnonlinear programmingconvex optimizationsaddle pointMathematicsQA1-939ENSymmetry, Vol 13, Iss 2148, p 2148 (2021) |
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multiobjective programming nonlinear programming convex optimization saddle point Mathematics QA1-939 |
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multiobjective programming nonlinear programming convex optimization saddle point Mathematics QA1-939 Kin Keung Lai Mohd Hassan Jitendra Kumar Maurya Sanjeev Kumar Singh Shashi Kant Mishra Multiobjective Convex Optimization in Real Banach Space |
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In this paper, we consider convex multiobjective optimization problems with equality and inequality constraints in real Banach space. We establish saddle point necessary and sufficient Pareto optimality conditions for considered problems under some constraint qualifications. These results are motivated by the symmetric results obtained in the recent article by Cobos Sánchez et al. in 2021 on Pareto optimality for multiobjective optimization problems of continuous linear operators. The discussions in this paper are also related to second order symmetric duality for nonlinear multiobjective mixed integer programs for arbitrary cones due to Mishra and Wang in 2005. Further, we establish Karush–Kuhn–Tucker optimality conditions using saddle point optimality conditions for the differentiable cases and present some examples to illustrate our results. The study in this article can also be seen and extended as symmetric results of necessary and sufficient optimality conditions for vector equilibrium problems on Hadamard manifolds by Ruiz-Garzón et al. in 2019. |
format |
article |
author |
Kin Keung Lai Mohd Hassan Jitendra Kumar Maurya Sanjeev Kumar Singh Shashi Kant Mishra |
author_facet |
Kin Keung Lai Mohd Hassan Jitendra Kumar Maurya Sanjeev Kumar Singh Shashi Kant Mishra |
author_sort |
Kin Keung Lai |
title |
Multiobjective Convex Optimization in Real Banach Space |
title_short |
Multiobjective Convex Optimization in Real Banach Space |
title_full |
Multiobjective Convex Optimization in Real Banach Space |
title_fullStr |
Multiobjective Convex Optimization in Real Banach Space |
title_full_unstemmed |
Multiobjective Convex Optimization in Real Banach Space |
title_sort |
multiobjective convex optimization in real banach space |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/b8d2ca8cb74d49d789c2df1cf311941b |
work_keys_str_mv |
AT kinkeunglai multiobjectiveconvexoptimizationinrealbanachspace AT mohdhassan multiobjectiveconvexoptimizationinrealbanachspace AT jitendrakumarmaurya multiobjectiveconvexoptimizationinrealbanachspace AT sanjeevkumarsingh multiobjectiveconvexoptimizationinrealbanachspace AT shashikantmishra multiobjectiveconvexoptimizationinrealbanachspace |
_version_ |
1718410301351657472 |