Hybrid Scheduling with Mixed-Integer Programming at Columbia Business School

C. Moallemi, Utkarsh Patange
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Abstract

For classroom scheduling during the COVID-19 pandemic, we develop several variations of mixed integer programs where we seek to balance multiple objectives and constraints, including maximizing in-person attendance while maintaining social distancing constraints and balancing in-person attendance across students and over time.
哥伦比亚大学商学院的混合整数编程混合排程技术
对于 COVID-19 大流行期间的课堂安排,我们开发了几种混合整数程序的变体,在这些程序中,我们寻求平衡多种目标和约束条件,包括在保持社会距离约束条件的同时最大化亲临现场的出勤率,以及平衡不同学生和不同时间段的亲临现场出勤率。
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