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Bilevel multiplicative problems: A penalty approach to optimality and a cutting plane based algorithm

机译:双层乘法问题:最优的惩罚方法和基于切面的算法

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摘要

Bilevel programming has been proposed for dealing with decision processes involving two decision makers with a hierarchical structure. They are characterised by the existence of two optimisation problems in which the constraint region of the upper level problem is implicitly determined by the lower level optimisation problem. In this paper we focus on the class of bilevel problems in which the upper level objective function is linear multiplicative, the lower level one is linear and the common constraint region is a bounded polyhedron. After replacing the lower level problem by its Karush-Kuhn-Tucker conditions, the existence of an extreme point which solves the problem is proved by using a penalty function approach. Besides, an algorithm based on the successive introduction of valid cutting planes is developed obtaining a global optimal solution. Finally, we generalise the problem by including upper level constraints which involve both level variables. (C) 2007 Elsevier B.V. All rights reserved.
机译:已经提出了双层编程来处理涉及具有分层结构的两个决策者的决策过程。它们的特征是存在两个优化问题,其中上级问题的约束区域由下级优化问题隐式确定。在本文中,我们关注于一类双层问题,其中上层目标函数是线性乘法,下层目标函数是线性,公共约束区域是有界多面体。用Karush-Kuhn-Tucker条件代替低级问题后,通过使用罚函数法证明了解决该问题的极点的存在。此外,开发了一种基于有效切割平面连续引入的算法,以获得全局最优解。最后,我们通过包含涉及两个级别变量的高级约束来概括该问题。 (C)2007 Elsevier B.V.保留所有权利。

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