Robust optimality and duality for composite uncertain multiobjective optimization in Asplund spaces with its applications

Fuente: arXiv
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Auteurs principaux: Saadati, Maryam, Oveisiha, Morteza
Format: Preprint
Publié: 2022
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author Saadati, Maryam
Oveisiha, Morteza
author_facet Saadati, Maryam
Oveisiha, Morteza
contents This article is devoted to investigate a nonsmooth/nonconvex uncertain multiobjective optimization problem with composition fields (CUP) for brevity) over arbitrary Asplund spaces. Employing some advanced techniques of variational analysis and generalized differentiation, we establish necessary optimality conditions for weakly robust efficient solutions of (CUP) in terms of the limiting subdifferential. Sufficient conditions for the existence of (weakly) robust efficient solutions to such a problem are also driven under the new concept of pseudo-quasi convexity for composite functions. We formulate a Mond-Weir-type robust dual problem to the primal problem (CUP), and explore weak, strong, and converse duality properties. In addition, the obtained results are applied to an approximate uncertain multiobjective problem and a composite uncertain multiobjective problem with linear operators.
format Preprint
id arxiv_https___arxiv_org_abs_2211_07611
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Robust optimality and duality for composite uncertain multiobjective optimization in Asplund spaces with its applications
Saadati, Maryam
Oveisiha, Morteza
Optimization and Control
49K99, 65K10, 90C29, 90C46
This article is devoted to investigate a nonsmooth/nonconvex uncertain multiobjective optimization problem with composition fields (CUP) for brevity) over arbitrary Asplund spaces. Employing some advanced techniques of variational analysis and generalized differentiation, we establish necessary optimality conditions for weakly robust efficient solutions of (CUP) in terms of the limiting subdifferential. Sufficient conditions for the existence of (weakly) robust efficient solutions to such a problem are also driven under the new concept of pseudo-quasi convexity for composite functions. We formulate a Mond-Weir-type robust dual problem to the primal problem (CUP), and explore weak, strong, and converse duality properties. In addition, the obtained results are applied to an approximate uncertain multiobjective problem and a composite uncertain multiobjective problem with linear operators.
title Robust optimality and duality for composite uncertain multiobjective optimization in Asplund spaces with its applications
topic Optimization and Control
49K99, 65K10, 90C29, 90C46
url https://arxiv.org/abs/2211.07611