Strong core and Pareto-optimality in the multiple partners matching problem under lexicographic preference domains

成果类型:
Article
署名作者:
Biro, Peter; Csaji, Gergely
署名单位:
Corvinus University Budapest; Eotvos Lorand University
刊物名称:
GAMES AND ECONOMIC BEHAVIOR
ISSN/ISSBN:
0899-8256
DOI:
10.1016/j.geb.2024.03.010
发表日期:
2024
页码:
217-238
关键词:
Stable matchings many-to-many matching Lexicographic preferences core Computation complexity
摘要:
We study strong core and Pareto-optimal solutions for multiple partners matching problem under lexicographic preference domains from a computational point of view. The restriction to the two-sided case is called stable many -to -many matching problem and the general one-sided case is called stable fixtures problem. We provide an example to show that the strong core can be empty even for many -to -many problems, and that deciding the non -emptiness of the strong core is NP -hard. On the positive side, we give efficient algorithms for finding a near feasible strong core solution and for finding a fractional matching in the strong core of fractional matchings. In contrast with the NP -hardness result for the stable fixtures problem, we show that finding a maximum size matching that is Pareto-optimal can be done efficiently for many -to -many problems. Finally, we show that for reverse -lexicographic preferences the strong core is always non -empty in the many -to -many case.
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