Abstract
This paper proposes a heuristic repair algorithm to find a maximum weakly stable matching for the stable marriage problem with ties and incomplete lists. Our algorithm is designed including a well-known Gale-Shapley algorithm to find a stable matching for the stable marriage problem with ties and incomplete lists and a heuristic repair function to improve the found stable matching in terms of maximum size. Experimental results for large randomly generated instances of the problem showed that our algorithm is efficient in terms of both execution time and solution quality for solving the problem.
| Original language | English |
|---|---|
| Title of host publication | AI 2021 |
| Subtitle of host publication | Advances in Artificial Intelligence - 34th Australasian Joint Conference, AI 2021, Proceedings |
| Editors | Guodong Long, Xinghuo Yu, Sen Wang |
| Publisher | Springer Science and Business Media Deutschland GmbH |
| Pages | 494-506 |
| Number of pages | 13 |
| ISBN (Print) | 9783030975456 |
| DOIs | |
| Publication status | Published - 2022 |
| Event | 34th Australasian Joint Conference on Artificial Intelligence, AI 2021 - Virtual, Online Duration: 2 Feb 2022 → 4 Feb 2022 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 13151 LNAI |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Conference
| Conference | 34th Australasian Joint Conference on Artificial Intelligence, AI 2021 |
|---|---|
| City | Virtual, Online |
| Period | 2/02/22 → 4/02/22 |
Bibliographical note
Publisher Copyright:© 2022, Springer Nature Switzerland AG.
Keywords
- Gale-Shapley algorithm
- Heuristic repair
- SMTI
- Stable marriage problem
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