Adapting stable matchings to forced and forbidden pairs

IF 1.1 3区 计算机科学 Q1 BUSINESS, FINANCE Journal of Computer and System Sciences Pub Date : 2024-08-28 DOI:10.1016/j.jcss.2024.103579
Niclas Boehmer, Klaus Heeger
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Abstract

We introduce the problem of adapting a stable matching to forced and forbidden pairs. Given a stable matching M1, a set Q of forced pairs, and a set P of forbidden pairs, we want to find a stable matching that includes all pairs from Q, no pair from P, and is as close as possible to M1. We study this problem in four classic stable matching settings: Stable Roommates (with Ties) and Stable Marriage (with Ties). Our main contribution is a polynomial-time algorithm, based on the theory of rotations, for adapting Stable Roommates matchings to forced pairs. In contrast, we show that the same problem for forbidden pairs is NP-hard. However, our polynomial-time algorithm for forced pairs can be extended to a fixed-parameter tractable algorithm with respect to the number of forbidden pairs. Moreover, we study the setting where preferences contain ties: Some of our algorithmic results can be extended while other problems become intractable.

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使稳定配对适应强迫和禁止配对
我们将引入一个问题,即如何使稳定匹配适应强制和禁止配对。给定一个稳定匹配 M1、一个强制配对集合 Q 和一个禁止配对集合 P,我们希望找到一个稳定匹配,其中包括 Q 中的所有配对,不包括 P 中的任何配对,并且尽可能接近 M1。我们将在四种经典的稳定匹配设置中研究这个问题:稳定室友(有纽带)和稳定婚姻(有纽带)。我们的主要贡献是基于旋转理论的多项式时间算法,用于将稳定室友匹配调整为强制配对。相比之下,我们证明了禁止配对的同一问题是 NP 难的。然而,我们针对强迫配对的多项式时间算法可以扩展为一种与禁止配对数量相关的固定参数可控算法。此外,我们还研究了偏好包含领带的情况:我们的一些算法结果可以扩展,而另一些问题则变得难以解决。
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来源期刊
Journal of Computer and System Sciences
Journal of Computer and System Sciences 工程技术-计算机:理论方法
CiteScore
3.70
自引率
0.00%
发文量
58
审稿时长
68 days
期刊介绍: The Journal of Computer and System Sciences publishes original research papers in computer science and related subjects in system science, with attention to the relevant mathematical theory. Applications-oriented papers may also be accepted and they are expected to contain deep analytic evaluation of the proposed solutions. Research areas include traditional subjects such as: • Theory of algorithms and computability • Formal languages • Automata theory Contemporary subjects such as: • Complexity theory • Algorithmic Complexity • Parallel & distributed computing • Computer networks • Neural networks • Computational learning theory • Database theory & practice • Computer modeling of complex systems • Security and Privacy.
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