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Minimax fractional integral programming i

机译:Minimax分数积分编程i

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This paper deals with the problem of minmax fractional integral type programming by applying the generalized version of univexity considered in Mishra, Shukla and Verma [4], which is equivalent to minimizing a maximum of several time dependent ratios involving integral expressions. We establish optimality conditions based on the generalized invexity, and then we explore the Wolfe type dual model, and Mond-Weir type dual model. Furthermore, a class of weak, strong and strictly converse duality theorems based on the generalized invexity frameworks is established.
机译:本文通过应用在Mishra,Shukla和Verma [4]中考虑的统一性的广义形式来解决minmax分式整数类型编程的问题,这等效于最小化涉及积分表达式的几个时变比率的最大值。我们基于广义凸度建立最优条件,然后研究Wolfe型对偶模型和Mond-Weir型对偶模型。此外,建立了基于广义不变性框架的一类弱,强和严格逆对偶定理。

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