This paper addresses the challenge of classroom allocation in higher education institutions, with an explicit emphasis on accessibility for Persons with Disabilities (PwDs). Employing a case study of a university's computer science department, the paper proposes an Integer Linear Programming (ILP)-based optimization model, which is solved using the Gurobi solver. The objective is to minimize the number of classrooms used by prioritizing the assignment of PwD students to ground-floor classrooms to reduce accessibility barriers. The model is calibrated with a weighting parameter, alpha, that allows for a balance between spatial efficiency and promoting accessibility. Experimental results indicate that adjusting alpha can achieve a balance point that significantly improves current manual allocation practices, reducing the number of classrooms required and accessibility penalties. The findings suggest that optimization methods can improve operational efficiency in academic institutions while promoting a more inclusive environment for all students. Future work may expand the application of the model to other departments and contexts and integrate additional criteria to develop a more holistic approach.

翻译：本文探讨了高等教育机构中教室分配的挑战，并明确强调了对残障人士可及性的关注。通过对一所大学计算机科学系的案例研究，本文提出了一种基于整数线性规划的优化模型，并使用Gurobi求解器进行求解。该模型旨在通过优先将残障学生分配至一楼教室以减少可及性障碍，从而最小化教室使用数量。模型通过权重参数α进行校准，该参数允许在空间效率与提升可及性之间取得平衡。实验结果表明，调整α可以找到一个平衡点，显著改善当前人工分配方式，减少所需教室数量并降低可及性惩罚。研究结果表明，优化方法可以在提高学术机构运营效率的同时，为所有学生营造更具包容性的环境。未来的工作可将该模型的应用扩展至其他院系和情境，并整合更多标准以发展更全面的方法。