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January 24, 2026Control and Cybernetics0 citations

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

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NGNazih Abderrazzak GadhiIZImad Amrani Zerrifi

Key Points

  • The study aims to derive optimality conditions for ε-weak local quasi-efficient solutions in non-convex vector optimization problems.
  • Analyzed non-convex vector optimization problems with differences of convex maps.
  • Employed a separation argument to derive necessary optimality conditions.
  • Presented sufficient optimality conditions and illustrative examples.
  • Derived necessary conditions for ε-weak local quasi-efficient solutions.
  • Established sufficient conditions to support the findings.
  • Provided examples that demonstrate the application of the theoretical results.

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.

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Cite This Study

Gadhi et al. (2025) studied this question.

synapsesocial.com/papers/69746149bb9d90c67120b34bhttps://doi.org/10.2478/candc-2025-0010
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