An optimization model for the fair distribution of prize money in ATP tournaments
An optimization model for the fair distribution of prize money in ATP tournaments
Govea, Zureneth; Pérez-Galarce, Francisco; Candia-Véjar, Alfredo
2022-03-01 00:00:00
AbstractThe Association of Tennis Professionals (ATP) distributes a considerable amount of money in prizes each year. Studies have shown that only the top 100 ranked players can self-finance; hence, it is convenient to introduce changes to the prize distribution to promote a more sustainable system. A Linear Programming model to distribute the tournament’s budget under a new concept for the fair distribution of prize money is proposed. Additionally, to distribute the prizes, a function based on the effort of the players is designed. The model was applied to tournaments to demonstrate the impact on improving the player’s prizes distribution.
http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.pngInternational Journal of Computer Science in Sportde Gruyterhttp://www.deepdyve.com/lp/de-gruyter/an-optimization-model-for-the-fair-distribution-of-prize-money-in-atp-0lGj6BXAzv
An optimization model for the fair distribution of prize money in ATP tournaments
AbstractThe Association of Tennis Professionals (ATP) distributes a considerable amount of money in prizes each year. Studies have shown that only the top 100 ranked players can self-finance; hence, it is convenient to introduce changes to the prize distribution to promote a more sustainable system. A Linear Programming model to distribute the tournament’s budget under a new concept for the fair distribution of prize money is proposed. Additionally, to distribute the prizes, a function based on the effort of the players is designed. The model was applied to tournaments to demonstrate the impact on improving the player’s prizes distribution.
Journal
International Journal of Computer Science in Sport
– de Gruyter
Published: Mar 1, 2022
Keywords: SUSTAINABLE PROFESSIONAL TENNIS; ATP PRIZES; LINEAR PROGRAMMING; COMPETITIVE EFFORT
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