AAAI Publications, Twenty-Ninth AAAI Conference on Artificial Intelligence

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Solving Hard Stable Matching Problems via Local Search and Cooperative Parallelization
Danny Munera, Daniel Diaz, Salvador Abreu, Francesca Rossi, Vijay Saraswat, Philippe Codognet

Last modified: 2015-02-16

Abstract


Stable matching problems have several practical applications. If preference lists are truncated and contain ties, finding a stable matching with maximal size is computationally difficult. We address this problem using a local search technique, based on Adaptive Search and present experimental evidence that this approach is much more efficient than state-of-the-art exact and approximate methods. Moreover, parallel versions (particularly versions with communication) improve performance so much that very large and hard instances can be solved quickly.

Keywords


Stable Matching; Parallel Local Search; Cooperative Multi-Walk

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