Uncovers optimality conditions for local quasi-efficient solutions in non-convex vector optimization, suggesting new avenues for mathematical inquiry.
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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Gadhi et al. (2025) studied this question.
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