Additional Constraints for Dynamic Competitive Facility Location Problem

IF 0.58 Q3 Engineering
V. L. Beresnev, A. A. Melnikov
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引用次数: 0

Abstract

We consider a competitive facility location model where competing parties (Leader and Follower) make decisions considering changes of the set of customers happening during the planing horizon consisting a known number of time periods. It is assumed that the Leader makes a decision on opening their facilities at the beginning of the planning horizon, while the Follower can revise their decision in each time period. In the present paper, we study perspectives to apply a method for finding the best solution that is based on using HP-relaxation of the bilevel problem considered. The key element of this method is construction of additional inequalities strengthening the HP-relaxation and computation of upper bounds for the objective function of the problem. In the paper, we propose new families of additional constraints to strengthen the HP-relaxation that allow computing nontrivial upper bounds.

动态竞争设施选址问题的附加约束
我们考虑了一个竞争性设施位置模型,其中竞争方(领导者和追随者)在考虑由已知数量的时间段组成的规划过程中发生的客户群变化的情况下做出决策。假设领导者在规划期开始时就开放他们的设施做出决定,而追随者可以在每个时间段修改他们的决定。在本文中,我们研究了在使用所考虑的双层问题的HP松弛的基础上应用该方法寻找最佳解的前景。该方法的关键是构造附加不等式,加强HP松弛和计算问题的目标函数的上界。在本文中,我们提出了新的附加约束族来加强允许计算非平凡上界的HP松弛。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Applied and Industrial Mathematics
Journal of Applied and Industrial Mathematics Engineering-Industrial and Manufacturing Engineering
CiteScore
1.00
自引率
0.00%
发文量
16
期刊介绍: Journal of Applied and Industrial Mathematics  is a journal that publishes original and review articles containing theoretical results and those of interest for applications in various branches of industry. The journal topics include the qualitative theory of differential equations in application to mechanics, physics, chemistry, biology, technical and natural processes; mathematical modeling in mechanics, physics, engineering, chemistry, biology, ecology, medicine, etc.; control theory; discrete optimization; discrete structures and extremum problems; combinatorics; control and reliability of discrete circuits; mathematical programming; mathematical models and methods for making optimal decisions; models of theory of scheduling, location and replacement of equipment; modeling the control processes; development and analysis of algorithms; synthesis and complexity of control systems; automata theory; graph theory; game theory and its applications; coding theory; scheduling theory; and theory of circuits.
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