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The Karush-Kuhn-Tucker optimality conditions in multiobjective programming problems with interval-valued objective functions

机译:具有区间值目标函数的多目标规划问题的Karush-Kuhn-Tucker最优性条件

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摘要

The KKT conditions in multiobjective programming problems with interval-valued objective functions are derived in this paper. Many concepts of Pareto optimal solutions are proposed by considering two orderings on the class of all closed intervals. In order to consider the differentiation of an interval-valued function, we invoke the Hausdorff metric to define the distance between two closed intervals and the Hukuhara difference to define the difference of two closed intervals. Under these settings, we are able to consider the continuity and differentiability of an interval-valued function. The KKT optimality conditions can then be naturally elicited. (C) 2008 Elsevier B.V. All rights reserved.
机译:本文推导了具有区间值目标函数的多目标规划问题的KKT条件。通过考虑所有封闭区间类别的两个排序,提出了帕累托最优解的许多概念。为了考虑区间值函数的微分,我们调用Hausdorff度量来定义两个封闭区间之间的距离,并调用Hukuhara差来定义两个封闭区间的差。在这些设置下,我们能够考虑区间值函数的连续性和可微性。然后可以自然地得出KKT最优条件。 (C)2008 Elsevier B.V.保留所有权利。

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