Finding Robust Solutions to Stable Marriage
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence. Main track. Pages 631-637.
https://doi.org/10.24963/ijcai.2017/88
Keywords
- Agent-based and Multi-agent Systems: Social Choice Theory
- Combinatorial & Heuristic Search: Heuristic Search
- Knowledge Representation, Reasoning, and Logic: Preferences
- Constraints and Satisfiability: Modeling/Formulation
Abstract
We study the notion of robustness in stable matching problems. We first define robustness by introducing (a,b)-supermatches. An (a,b)-supermatch is a stable matching in which if a pairs break up it is possible to find another stable matching by changing the partners of those a pairs and at most b other pairs. In this context, we define the most robust stable matching as a (1,b)-supermatch where b is minimum. We show that checking whether a given stable matching is a (1,b)-supermatch can be done in polynomial time. Next, we use this procedure to design a constraint programming model, a local search approach, and a genetic algorithm to find the most robust stable matching. Our empirical evaluation on large instances show that local search outperforms the other approaches.
@inproceedings{ijcai2017p88,
title = {Finding Robust Solutions to Stable Marriage},
author = {Genc, Begum and Siala, Mohamed and O'Sullivan, Barry and Simonin, Gilles},
booktitle = {Proceedings of the Twenty-Sixth International Joint Conference on
Artificial Intelligence, {IJCAI-17}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Carles Sierra, IIIA-CSIC},
pages = {631--637},
year = {2017},
month = {8},
note = {Main track},
doi = {10.24963/ijcai.2017/88},
url = {https://doi.org/10.24963/ijcai.2017/88},
}
TY - CPAPER TI - Finding Robust Solutions to Stable Marriage AU - Genc, Begum AU - Siala, Mohamed AU - O'Sullivan, Barry AU - Simonin, Gilles T2 - Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, IJCAI-17 PB - International Joint Conferences on Artificial Intelligence Organization PY - 2017 SP - 631 EP - 637 DO - 10.24963/ijcai.2017/88 UR - https://doi.org/10.24963/ijcai.2017/88 ER -Copied
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