The automation of intelligent scheduling for tournaments

Abstract

Currently, the process of scheduling a tournament is hampered to a great extent because it is done manually. This leads to the inefficient use of resources (the most important of which is time) in the development of a schedule on account of the number of factors that have to be considered. The agenda thus formatted is inflexible, as changes cannot be incorporated without difficulty, some changes requiring that the schedule be discarded, and a new schedule drawn up. Therefore, the purpose of this study is to automate scheduling tournaments using an artificial intelligence solution.