ABSTRACT

For soccer managers, player selection lineups are a key process for better performance, both on financial and sports matters. However, to determine a quality solution to this problem it becomes more complex, as the number of alternatives and criteria increases and the number of viable solutions grows ex ponentially. This paper proposes a multicriteria method with genetic algorithm for the evaluation of soccer teams based on Brazilian Championship data. A team complementation percentage was calculated con sidering a total of 322 athletes and 18 criteria. The results presented a 3-6-1 format as the ideal for this case study, obtaining a team complementation value of 43.04%. The method adaptability for the decision-maker is highlighted, showing it was possible to determinate the most complementary team according to the desired tactical formation and importance attributed for each criterion.

Keywords:
evolutionary algorithm; multicriteria; operational research