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Information Journal Paper

Title

Multi-Objective Modeling of University Course Schedules Considering a Two-Week Periodicity: A Case Study

Pages

  15-30

Abstract

 Preparing a timetable for university courses is a very time-consuming decision-making process that is done in each semester at higher education centers with many restrictions in mind. In this research, a multi-objective linear mathematical model for scheduling university courses is presented. The objective function of this research includes three functions as minimizing the total of the difference between the beginning and end of classes per day for different groups of students, maximizing the usefulness of presenting courses and minimizing the number of courses that the distance of their sessions is less than one day. The restrictions include restrictions on the non-interference of professors, classes, and students' curricula, as well as restrictions on how different courses are presented. In the proposed model, the method of presenting three-unit courses with a two-week period is considered. Finally, the performance of the proposed model using GAMS software is shown for a real example.

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    APA: Copy

    BEIGI, S., & BASIRI, E.. (2021). Multi-Objective Modeling of University Course Schedules Considering a Two-Week Periodicity: A Case Study. JOURNAL OF OPERATIONAL RESEARCH AND ITS APPLICATIONS (JOURNAL OF APPLIED MATHEMATICS), 18(3 (70) ), 15-30. SID. https://sid.ir/paper/953548/en

    Vancouver: Copy

    BEIGI S., BASIRI E.. Multi-Objective Modeling of University Course Schedules Considering a Two-Week Periodicity: A Case Study. JOURNAL OF OPERATIONAL RESEARCH AND ITS APPLICATIONS (JOURNAL OF APPLIED MATHEMATICS)[Internet]. 2021;18(3 (70) ):15-30. Available from: https://sid.ir/paper/953548/en

    IEEE: Copy

    S. BEIGI, and E. BASIRI, “Multi-Objective Modeling of University Course Schedules Considering a Two-Week Periodicity: A Case Study,” JOURNAL OF OPERATIONAL RESEARCH AND ITS APPLICATIONS (JOURNAL OF APPLIED MATHEMATICS), vol. 18, no. 3 (70) , pp. 15–30, 2021, [Online]. Available: https://sid.ir/paper/953548/en

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