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Approximation algorithms for the sex-equal stable marriage problem

机译:两性稳定婚姻问题的近似算法

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The stable marriage problem is a classical matching problem introduced by Gale and Shapley. It is known that for any instance, there exists a solution, and there is a polynomial time algorithm to find one. However, the matching obtained by this algorithm is man-optimal, that is, the matching is favorable for men but unfavorable for women, (or, if we exchange the roles of men and women, the resulting matching is woman-optimal). The sex-equal stable marriage problem, posed by Gusfield and Irving, seeks a stable matching "fair" for both genders. Specifically it seeks a stable matching with the property that the sum of the men's scores is as close as possible to that of the women's. This problem is known to be strongly NP-hard. In this paper, we give a polynomial time algorithm for finding a near optimal solution for the sex-equal stablemarriage problem. Furthermore, we consider the problem of optimizing an additional criterion: among stable matchings that are near optimal in terms of the sex-equality, find a minimum egalitarian stable matching. We show that this problem is strongly NP-hard, and give a polynomial time algorithm whose approximation ratio is less than two.
机译:稳定婚姻问题是Gale和Shapley提出的经典匹配问题。众所周知,在任何情况下都存在一种解决方案,并且存在一种多项式时间算法来找到一个解。但是,通过此算法获得的匹配是男人最佳的,也就是说,该匹配对男人有利,而对女人则不利(或者,如果我们交换男人和女人的角色,则得出的匹配是女人最佳)。由古斯菲尔德(Gusfield)和欧文(Irving)提出的两性平等的稳定婚姻问题,寻求一个对男女双方都稳定的匹配“公平”。具体来说,它寻求与以下属性的稳定匹配:男人的得分总和尽可能接近女人的得分。已知此问题对NP来说很困难。在本文中,我们给出了多项式时间算法,用于寻找性别平等婚姻问题的最佳解。此外,我们考虑了优化附加标准的问题:在性别平等方面接近最佳的稳定匹配中,找到最小的平等稳定匹配。我们证明这个问题是强NP难的,并给出了近似比率小于2的多项式时间算法。

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