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On generalized second-order proto-differentiability of the benson proper perturbation maps in parametric vector optimization problems. (English) Zbl 1527.90231

Summary: This paper is concerned with second-order sensitivity analysis of parameterized vector optimization problems via generalized second-order contingent derivative. We prove that the Benson proper efficient solution map and the Benson proper efficient perturbation map of a parametric vector optimization problem are generalized second-order proto-differentiable under some suitable qualification conditions. Several examples are given to illustrate the obtained results.

MSC:

90C31 Sensitivity, stability, parametric optimization
90C29 Multi-objective and goal programming
90C26 Nonconvex programming, global optimization
Full Text: DOI

References:

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