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Optimality conditions and duality for a class of nondifferentiable multi-objective fractional programming problems

机译:一类不可微分多目标分数规划问题的最优性条件和对偶

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摘要

A class of multi-objective fractional programming problems (MFP) are considered where the involved functions are locally Lipschitz. In order to deduce our main results, we give the definition of the generalized (F,θ,ρ,d)-convex class about the Clarke's generalized gradient. Under the above generalized convexity assumption, necessary and sufficient conditions for optimality are given. Finally, a dual problem corresponding to (MFP) is formulated, appropriate dual theorems are proved.
机译:考虑一类多目标分数规划问题(MFP),其中涉及的函数是局部Lipschitz。为了得出我们的主要结果,我们给出了关于Clarke广义梯度的广义(F,θ,ρ,d)-凸类的定义。在上述广义凸假设下,给出了最优性的充要条件。最后,提出了对应于(MFP)的对偶问题,证明了适当的对偶定理。

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