Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Publication date | 2014 |
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Host publication | Proceedings of the National Conference on Artificial Intelligence |
Publisher | AI Access Foundation |
Pages | 2271-2277 |
Number of pages | 7 |
Volume | 3 |
ISBN (print) | 9781577356790 |
<mark>Original language</mark> | English |
Event | 28th AAAI Conference on Artificial Intelligence, AAAI 2014, 26th Innovative Applications of Artificial Intelligence Conference, IAAI 2014 and the 5th Symposium on Educational Advances in Artificial Intelligence, EAAI 2014 - Quebec City, Canada Duration: 27/07/2014 → 31/07/2014 |
Conference | 28th AAAI Conference on Artificial Intelligence, AAAI 2014, 26th Innovative Applications of Artificial Intelligence Conference, IAAI 2014 and the 5th Symposium on Educational Advances in Artificial Intelligence, EAAI 2014 |
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Country/Territory | Canada |
City | Quebec City |
Period | 27/07/14 → 31/07/14 |
Conference | 28th AAAI Conference on Artificial Intelligence, AAAI 2014, 26th Innovative Applications of Artificial Intelligence Conference, IAAI 2014 and the 5th Symposium on Educational Advances in Artificial Intelligence, EAAI 2014 |
---|---|
Country/Territory | Canada |
City | Quebec City |
Period | 27/07/14 → 31/07/14 |
The Traveling Tournament Problem (TTP) is a complex problem in sports scheduling whose solution is a schedule of home and away games meeting specific feasibility requirements, while minimizing the total distance traveled by all the teams. A recently-developed "hybrid" algorithm, combining local search and integer programming, has resulted in best-known solutions for many TTP instances. In this paper, we tackle the TTP from a graph-theoretic perspective, by generating a new "canonical" schedule in which each team's threegame road trips match up with the underlying graph's minimum-weight P3-packing. By using this new schedule as the initial input for the hybrid algorithm, we develop tournament schedules for five benchmark TTP instances that beat all previously-known solutions.