Maximizing Diversity in the Engineering Global Leadership Cultural Families

We present a new formulation for assigning students to groups to maximize the diversity within each group. We compare its solution to that of the well-known linearized maximally diverse grouping problem. The new formulation minimizes similar student attributes within a group by penalizing the deviations from the target number of students with each attribute within each group. We apply the model to the task of assigning University of Michigan...