1432. Optimizing Soccer Tournament Attractiveness Through Benders Decomposition and Dynamic Scheduling
Invited abstract in session FB-5: Bayesian Models for Football Analytics, cluster OR in Sports.
Friday, 11:00-12:30Room: CE-204
Authors (first author is the speaker)
| 1. | Alejandro Cataldo
|
| Institute for Mathematical and Computational Engineering, Pontifica Universidad Católica de Chile | |
| 2. | Antoine Sauré
|
| Telfer School of Management, University of Ottawa | |
| 3. | Pablo A. Rey
|
| Industry, Universidad Tecnológica Metropolitana | |
| 4. | Gustavo Angulo
|
| Pontificia Universidad Catolica de Chile |
Abstract
This paper presents an approach based on mathematical models to determine the attractiveness of a soccer tournament, taking into account all possible positions teams can achieve in future dates. Additionally, a method is proposed to build a dynamic schedule maximizing the tournament's attractiveness. The approach is based on Benders decomposition and is used to optimize the scheduling of matches date by date. Experimental results are presented demonstrating the effectiveness of the proposed method in terms of attractiveness and balance of the tournament. The proposed method can be a valuable tool for soccer tournament organizers and other sports events to maximize the attractiveness of the audience and improve the competitiveness of the tournament.
Keywords
- Sports Tournaments
- Scheduling
- Optimization Models and Methods
Status: accepted
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