基于疫情防控的高校多目标课程排课方法研究

2023 IEEE 6th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC) Pub Date : 2023-02-24 DOI:10.1109/ITNEC56291.2023.10082461

Peng Wang, Jie Huang

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引用次数: 0

摘要

根据疫情防控的特点，提出了一种考虑距离因素的多目标高校课程调度方法。通过权衡教师活动、学生活动和课堂闲置率之间的距离，建立多目标模型。采用广度优先搜索算法对遗传算法的编码和种群初始化进行改进，使高校师生之间的移动距离最小。通过实验，该方法在完成课程安排问题的同时，可以有效减少人员流动，进而降低疫情在高校传播的风险。

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Research on Multi-objective Course Scheduling Method in Colleges based on Epidemic Prevention and Control

According to the characteristics of epidemic prevention and control, this paper puts forward a multi-objective college course scheduling method considering the distance factor. A multi-objective model is established by weighing the distance between teachers' activities, students' activities and the idle rate of the classroom. Breadth-First Search algorithm is used to improve the coding and population initialization of genetic algorithm, so as to minimize the movement distance between students and teachers in colleges. Through the experiment, this method can effectively reduce the flow of personnel while completing the course arrangement problem, and then reduce the risk of epidemic spread in colleges.

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2023 IEEE 6th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC)

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