Foreign player recommendation based on ant colony algorithm for the KBO team

It is important to scout a foreign player for the Korea Baseball Organization (KBO) league. However, a scouting the foreign player, based on the traditional methods, physically causes the high cost. To alleviate this problem, in this paper, we propose a foreign player recommendation (FPR) method based on Ant Colony Optimization (ACO) to efficiently recommend foreign players for the KBO Team.