In 4-sided dominoes, the popular way of playing dominoes in Amazonas State, the strategies used for the game are more complex than those adopted in the more traditional 2-sided dominoes, the most popular dominoes game played in Brazil. This work presents the optimization of an evaluation function for the best move in 4-sided dominoes using a genetic algorithm. The evaluation function is composed of terms that incorporate the game's strategies and are defined as: punctuating, facilitating future moves and complicating opponents' moves. Coefficients were defined to determine the importance of each term of the evaluation function and a set of parameters and operators for implementation of the genetic algorithm. The players' ability was calculated by the number of wins in 5,000 matches. The results obtained during the simulations showed that the team (composed of 2 players) that used the evaluation function with its coefficients optimized by the genetic algorithm won in more than 70% of the total matches.
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