2022
DOI: 10.3390/fractalfract7010018
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Robust Efficiency Conditions in Multiple-Objective Fractional Variational Control Problems

Abstract: The aim of this study is to investigate multi-dimensional vector variational problems considering data uncertainty in each of the objective functional and constraints. We establish the robust necessary and sufficient efficiency conditions such that any robust feasible solution could be the robust weakly efficient solution for the problems under consideration. Emphatically, we present robust efficiency conditions for multi-dimensional scalar, vector, and vector fractional variational problems by using the notio… Show more

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Cited by 3 publications
(5 citation statements)
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“…In this section, by using the robust necessary efficiency conditions established in Ritu et al [25], we investigate robust weak, robust strong, and robust strict converse-type duality results. More precisely, by considering the Wolfe-and Mond-Weir-type dualities, we formulate a robust mixed-type dual problem, and, under suitable convexity assumptions of the involved functionals, we establish some equivalence results between the solution sets of the considered models.…”
Section: Main Results: Mixed Robust Dualitymentioning
confidence: 99%
See 4 more Smart Citations
“…In this section, by using the robust necessary efficiency conditions established in Ritu et al [25], we investigate robust weak, robust strong, and robust strict converse-type duality results. More precisely, by considering the Wolfe-and Mond-Weir-type dualities, we formulate a robust mixed-type dual problem, and, under suitable convexity assumptions of the involved functionals, we establish some equivalence results between the solution sets of the considered models.…”
Section: Main Results: Mixed Robust Dualitymentioning
confidence: 99%
“…More specifically, this paper is essentially a natural continuation of the studies stated in Mititelu and Treanţȃ [20] and Ritu et al [25]. In this regard, by using the robust necessary efficiency conditions established in Ritu et al [25], we investigate robust weak, robust strong, and robust strict converse-type duality results. The limitations of the existing works and the main credits of this paper are the following: (i) the presence of mixed constraints involving partial derivatives, (ii) the presence of the uncertainty data both in the cost functionals but also in the constraint functionals, and (iii) the combination of parametric and robust approaches to study the considered class of problems.…”
Section: Introductionmentioning
confidence: 85%
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