Multi-Objective Optimization for Football Team Member Selection

Team composition is one of the most important and challenging directions in recommendation problem. Compared with a single person, advantage team mainly reflected synergy members' complementary collaboration. To build high-efficiency team, how to choose members has become tricky However, there lack quantitative algorithms validation methods for member selection. In this paper, we put forward three indicators measure team's ability formulate selection football as multi-objective optimization Subsequently, an evolutionary player algorithm based on genetic proposed solve We verify effectiveness via data analysis, game simulation under different budget constraints provide comparisons existing methods.