根据历史划分公平团队的策略/算法
我们是一群定期打地板球的人。每节课都是从划分团队的艰巨任务开始的。 那么,有什么比自动选择团队更好的选择呢? 因此,鉴于团队组合和结果的历史记录,以及参加此特定会议的人员列表,找到最佳团队的最佳策略是什么?最佳来说,我指的是尽可能多的团队。 有任何想法吗? 编辑:为了清楚起见,我必须根据其选择的数据将是这样的: [{ team1: ["playerA", "playerB", "playerC"], team2: ["playerD", "playerE", "playerF"], goals_team1: 10, goals_team2: 8 }, { team1: ["playerD", "playerB", "playerC"], team2: ["playerA", "playerE", "playerG"], goals_team1: 2, goals_team2: 5 }, { team1: ["playerD", "playerB", "playerF"], team2: ["playerA", "playerE", "playerC"], goals_team1: 4, goals_team2: 2 }]