Optimality conditions for ε-weak local quasi-efficient solutions of D.C. vector optimization problems

Abstract In this paper, we address a non-convex vector optimization problem, in which the objective function and constraints are defined as differences of convex vector-valued maps. By employing a separation argument, we derive necessary optimality conditions, expressed in terms of ε-regularized subdifferentials, for a point to be an ε-weak local quasi-efficient solution. To ensure the paper is self-contained, we also present sufficient optimality conditions and provide examples to illustrate the results.

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Publication Details

Journal
Control and Cybernetics
Published
2025-09-01
DOI
https://doi.org/10.2478/candc-2025-0010
Primary Topic
Optimization and Variational Analysis
Type
article
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Optimality conditions for ε-weak local quasi-efficient solutions of D.C. vector optimization problems

Imad Amrani Zerrifi, Nazih Abderrazzak Gadhi
Control and Cybernetics
Optimization and Variational Analysis
article

Optimality conditions for ε-weak local quasi-efficient solutions of D.C. vector optimization problems

Imad Amrani Zerrifi, Nazih Abderrazzak Gadhi
article en

Abstract

Abstract In this paper, we address a non-convex vector optimization problem, in which the objective function and constraints are defined as differences of convex vector-valued maps. By employing a separation argument, we derive necessary optimality conditions, expressed in terms of ε-regularized subdifferentials, for a point to be an ε-weak local quasi-efficient solution. To ensure the paper is self-contained, we also present sufficient optimality conditions and provide examples to illustrate the results.

Control and CyberneticsVol. 54(3)
Sidi Mohamed Ben Abdellah University (MA)
Openalex Percentile: Top 24%
Optimization and Variational Analysis
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