Clustering approach to examination scheduling

T. V. To, S. Win
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引用次数: 5

Abstract

The difficulty in examination scheduling is to draw an examination timetable by taking a number of different constraints into account. This paper attempts to optimize two major constraints - to minimize the examination time conflicts and the number of consecutive examinations for a student in a day. Clustering method is applied by analyzing exam enrollments and then groups students into clusters so that students within a cluster are having more similar subject combination to each others than those in another clusters. The purpose of clustering is to effectively arrange the order of exams to be allocated into a suitable exam period. Since exams are scheduled by clusters, it solves the exam conflicts for the students within the same cluster whose are closely related to each other.
聚类方法的考试调度
考试排期的难点在于要考虑到许多不同的约束条件来制定一个考试时间表。本文试图优化两个主要的约束条件——最小化考试时间冲突和学生在一天内连续考试的次数。聚类方法是通过分析考试报名情况,然后将学生分组,使一个分组内的学生比另一个分组内的学生具有更多相似的科目组合。聚类的目的是有效地安排要分配的考试顺序到一个合适的考试时段。由于考试是按集群调度的,因此解决了同一集群中彼此关系密切的学生的考试冲突问题。
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