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Non-differentiable multiobjective programming under generalised functions

机译:广义函数下的不可微多目标规划

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In this paper, we consider a nonlinear multiobjective programming problem where functions involved are non-differentiable. The use of directional derivative in association with a hypothesis of an invex kind on the set has been of much interest in the recent past. Recently under preinvexity assumptions on f_i'(x_o; η_i(x, x_o)) and g_j'(x_o; θ_j(x, x_o)), necessary and sufficient optimality conditions for a non-smooth multiobjective optimisation problem under generalised class of d_I-V-type I functions have been derived. Working in this direction, we introduce a new class of (φ, d_I)-V-type I functions and illustrate through various non-trivial examples that this class is non-empty and extends some known classes introduced in the literature. Also, we obtain sufficient optimality conditions to enable a feasible solution of the primal problem to be its weak efficient/efficient solution. Then through an example, we illustrate the relevance of the sufficient optimality theorem obtained to get the efficient solution of the problem. Further, we formulate Wolfe type and Mond-Weir type multiobjective dual programs and establish various duality theorems under this newly introduced class of functions.
机译:在本文中,我们考虑一个非线性多目标规划问题,其中涉及的函数是不可微的。近年来,将定向导数与集合上的凸类假设相关联的使用引起了人们的极大兴趣。最近,在关于f_i'(x_o;η_i(x,x_o))和g_j'(x_o;θ_j(x,x_o))的前不变性假设下,在广义d_I-下的非光滑多目标优化问题的充要条件V型I函数已派生。为此,我们引入了新的(φ,d_I)-V型I函数类,并通过各种非平凡的例子说明了该类是非空的,并扩展了文献中引入的一些已知类。同样,我们获得了足够的最优性条件,以使原始问题的可行解决方案成为其较弱的有效/高效解决方案。然后通过一个例子,我们说明了获得足够的最优定理以获得问题的有效解决方案的相关性。此外,我们制定了Wolfe型和Mond-Weir型多目标对偶程序,并在这种新引入的函数类下建立了各种对偶定理。

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