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Optimality Conditions and Duality Results for a Class of Differentiable Vector Optimization Problems with the Multiple Interval-Valued Objective Function

机译:一类具有多个区间值目标函数的可微向量优化问题的最优性条件和对偶结果

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In this paper, a differentiable interval-valued vector optimization problem with the multiple objective function and with both inequality and equality constraints is considered. The Karush-Kuhn-Tucker necessary optimality conditions are established for a weak LU-Pareto solution in the considered vector optimization problem with the multiple interval-objective function under the Kuhn-Tucker constraint qualification. Further, the sufficient optimality conditions for a (weak) LU-Pareto solution and several duality results in Mond-Weir sense are proved under assumptions that the functions constituting the considered differentiable vector optimization problem with the multiple interval-objective function are (F, p)-convex.
机译:本文考虑了具有多目标函数,不等式和等式约束的可微区间值向量优化问题。在Kuhn-Tucker约束条件下,在考虑具有多个区间目标函数的向量优化问题中,为弱LU-Pareto解建立了Karush-Kuhn-Tucker必要最优条件。此外,在以下假设下证明了一个(弱)LU-Pareto解的充分的最优性条件,以及在Mond-Weir意义上的几个对偶结果,这些假设是在假设考虑的具有多个区间目标函数的可微向量优化问题的函数为(F,p )-凸。

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