A max-conflicts based heuristic search for the stable marriage problem with ties and incomplete lists

IF 1.1 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Hoang Huu Viet, Nguyen Thi Uyen, SeungGwan Lee, TaeChoong Chung, Le Hong Trang
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引用次数: 1

Abstract

In this paper, we propose a heuristic search algorithm based on maximum conflicts to find a weakly stable matching of maximum size for the stable marriage problem with ties and incomplete lists. The key idea of our approach is to define a heuristic function based on the information extracted from undominated blocking pairs from the men’s point of view. By choosing a man corresponding to the maximum value of the heuristic function, we aim to not only remove all the blocking pairs formed by the man but also reject as many blocking pairs as possible for an unstable matching from the women’s point of view to obtain a solution of the problem as quickly as possible. Experiments show that our algorithm is efficient in terms of both execution time and solution quality for solving the problem.

基于最大冲突的不完全列表约束下稳定婚姻问题的启发式搜索
本文提出了一种基于最大冲突的启发式搜索算法,用于寻找带不完全链表的稳定婚姻问题的最大大小弱稳定匹配。我们的方法的关键思想是定义一个启发式函数,该函数基于从男性的角度从非支配阻塞对中提取的信息。通过选择启发式函数最大值所对应的男性,我们不仅要去除男性形成的所有阻塞对,而且要从女性的角度尽可能多地拒绝不稳定匹配的阻塞对,以尽快得到问题的解。实验表明,该算法在求解问题的执行时间和求解质量方面都是有效的。
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 Heuristics
Journal of Heuristics 工程技术-计算机:理论方法
CiteScore
5.80
自引率
0.00%
发文量
19
审稿时长
6 months
期刊介绍: The Journal of Heuristics provides a forum for advancing the state-of-the-art in the theory and practical application of techniques for solving problems approximately that cannot be solved exactly. It fosters the development, understanding, and practical use of heuristic solution techniques for solving business, engineering, and societal problems. It considers the importance of theoretical, empirical, and experimental work related to the development of heuristics. The journal presents practical applications, theoretical developments, decision analysis models that consider issues of rational decision making with limited information, artificial intelligence-based heuristics applied to a wide variety of problems, learning paradigms, and computational experimentation. Officially cited as: J Heuristics Provides a forum for advancing the state-of-the-art in the theory and practical application of techniques for solving problems approximately that cannot be solved exactly. Fosters the development, understanding, and practical use of heuristic solution techniques for solving business, engineering, and societal problems. Considers the importance of theoretical, empirical, and experimental work related to the development of heuristics.
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