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An Integer Programming Approach to the Hospitals/Residents Problem with Ties

机译:一个整数的编程方法,可以实现围绕的医院/居民问题

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The classical Hospitals/Residents problem (HR) models the assignment of junior doctors to hospitals based on their preferences over one another. In an instance of this problem, a stable matching M is sought which ensures that no blocking pair can exist in which a resident r and hospital h can improve relative to M by becoming assigned to each other. Such a situation is undesirable as it could naturally lead to r and h forming a private arrangement outside of the matching. The original HR model assumes that preference lists are strictly ordered. However in practice, this may be an unreasonable assumption: an agent may find two or more agents equally acceptable, giving rise to ties in its preference list.We thus obtain the Hospitals/ Residents problem with Ties (HRT). In such an instance, stable matchings may have different sizes and MAX HRT, the problem of finding a maximum cardinality stable matching, is NP-hard. In this paper we describe an Integer Programming (IP) model for MAX HRT. We also provide some details on the implementation of the model. Finally we present results obtained from an empirical evaluation of the IP model based on real-world and randomly generated problem instances.
机译:古典医院/居民问题(HR)模拟了基于彼此的偏好的初级医生的分配。在该问题的一个实例中,寻求稳定的匹配M,其确保不可能存在封闭对,其中驻留R和医院H可以通过彼此分配而相对于M改善。这种情况是不希望的,因为它可以自然导致R和H形成匹配外部的私人布置。原始HR模型假定严格命令偏好列表。然而,在实践中,这可能是一个不合理的假设:代理人可能会发现两个或更多个代理同样可接受的代理,从而在其偏好列表中产生联系。因此,我们从而获得了与Tie(HRT)的医院/居民问题。在这样的实例中,稳定的匹配可能具有不同的大小和最大HRT,找到最大基数稳定匹配的问题是NP - 硬。在本文中,我们描述了最大HRT的整数编程(IP)模型。我们还提供有关模型实施的一些细节。最后,我们提出了基于现实世界和随机生成的问题实例的IP模型的实证评价获得的结果。

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