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首页> 外文期刊>Journal of industrial and management optimization >MULTISTAGE HIERARCHICAL OPTIMIZATION PROBLEMS WITH MULTI-CRITERION OBJECTIVES
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MULTISTAGE HIERARCHICAL OPTIMIZATION PROBLEMS WITH MULTI-CRITERION OBJECTIVES

机译:带有多准则目标的多阶段分层优化问题

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A hierarchical optimization (or bilevel programming) problem con-sists of a decision maker called the leader who is interested in optimizing an objective function that involves with the decisions from another decision maker called the follower whose decisions are based in part on the policies made by the leader. However, if the planning horizon expands into an extended period of time, it may be unrealistic for either players to commit to the original de-cisions so there is a desire to break the problem into stages and the leader may wish to reevaluate the follower's response at each stage. In this article, we propose a multistage hierarchical optimization problem with the leader's objective consisting of multiple criteria and study the optimality conditions of such problems using an extremal principle of Mordukhovich.
机译:分层优化(或双层编程)问题由称为领导者的决策者组成,他对优化目标函数感兴趣,该目标函数涉及另一决策者(称为跟随者)的决策,决策者的决策部分基于决策者的决策领导人。但是,如果计划范围扩大了一段时间,那么任何一个参与者都无法遵循最初的决定可能是不切实际的,因此希望将问题分解为多个阶段,领导者可能希望重新评估跟随者的反应在每个阶段。在本文中,我们提出了一个以领导者为目标的,由多个标准组成的多阶段分层优化问题,并使用Mordukhovich的极值原理研究了此类问题的最优条件。

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