Binary programs for asymmetric betweenness problems and relations to the quadratic linear ordering problem

IF 2.6 Q2 OPERATIONS RESEARCH & MANAGEMENT SCIENCE
Sven Mallach
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引用次数: 0

Abstract

We present and compare novel binary programs for linear ordering problems that involve the notion of asymmetric betweenness and expose relations to the quadratic linear ordering problem and its linearization. While two of the binary programs prove particularly superior from a computational point of view when many or all betweenness relations shall be modeled, the others arise as natural formulations that resemble important theoretical correspondences and provide a compact alternative for sparse problem instances. A reasoning for the strengths and weaknesses of the different formulations is derived by means of polyhedral considerations with respect to their continuous relaxations.

二元规划的非对称间性问题及其与二次线性排序问题的关系
我们提出并比较了涉及不对称间性概念的线性排序问题的新的二元规划,并揭示了与二次线性排序问题及其线性化的关系。当许多或所有的中间关系需要建模时,从计算的角度来看,其中两个二进制程序被证明是特别优越的,而其他二进制程序则作为类似重要理论对应的自然公式出现,并为稀疏问题实例提供了一个紧凑的替代方案。通过多面体对其连续松弛的考虑,推导出了不同公式的优点和缺点。
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来源期刊
EURO Journal on Computational Optimization
EURO Journal on Computational Optimization OPERATIONS RESEARCH & MANAGEMENT SCIENCE-
CiteScore
3.50
自引率
0.00%
发文量
28
审稿时长
60 days
期刊介绍: The aim of this journal is to contribute to the many areas in which Operations Research and Computer Science are tightly connected with each other. More precisely, the common element in all contributions to this journal is the use of computers for the solution of optimization problems. Both methodological contributions and innovative applications are considered, but validation through convincing computational experiments is desirable. The journal publishes three types of articles (i) research articles, (ii) tutorials, and (iii) surveys. A research article presents original methodological contributions. A tutorial provides an introduction to an advanced topic designed to ease the use of the relevant methodology. A survey provides a wide overview of a given subject by summarizing and organizing research results.
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