Abstract
Team pairings during an athletic season impact the revenues, costs, and exposure of teams in college and professional leagues. The schedules of teams can also influence which one wins a conference or league championship. Factors such as the strength of opponents, travel times and distances, and television exposure are important in constructing desirable athletic schedules, but are often ignored by schedule-makers. Integer programming techniques are applied to scheduling college football games in the Southeastern Conference. The result is a set of schedules which, when compared to the current set, yields a more narrow range in schedule difficulty among the 10 teams, lower total distance for teams to travel during the season, and potentially more televised games.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
