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Information Journal Paper

Title

UNIVERSITY COURSE TIMETABLING USING CONSTRAINT PROGRAMMING

Pages

  119-137

Abstract

 University course TIMETABLING problem is a challenging and time-consuming task on the overall structure of timetable in every academic environment. The problem deals with many factors such as the number of lessons, classes, teachers, students and working time, and these are influenced by some hard and SOFT CONSTRAINTs. The aim of solving this problem is to assign courses and classes to teachers and students, so that the restrictions are held. In this paper, a CONSTRAINT PROGRAMMING method is proposed to satisfy maximum constraints and expectation, in order to address university TIMETABLING problem. For minimizing the penalty of SOFT CONSTRAINTs, a cost function is introduced and AHP method is used for calculating its coefficients. The proposed model is tested on department of management, University of Isfahan dataset using OPL on the IBM ILOG CPLEX Optimization Studio platform. A statistical analysis has been conducted and shows the performance of the proposed approach in satisfying all HARD CONSTRAINTs and also the satisfying degree of the SOFT CONSTRAINTs is on maximum desirable level. The running time of the model is less than 20 minutes that is significantly better than the non-automated ones.

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    APA: Copy

    SHAHMORADI, HADI, KETABI, SAEIDEH, & ESMAELIAN, MAJID. (2017). UNIVERSITY COURSE TIMETABLING USING CONSTRAINT PROGRAMMING. PRODUCTION AND OPERATIONS MANAGEMENT, 8(1 (14) ), 119-137. SID. https://sid.ir/paper/217586/en

    Vancouver: Copy

    SHAHMORADI HADI, KETABI SAEIDEH, ESMAELIAN MAJID. UNIVERSITY COURSE TIMETABLING USING CONSTRAINT PROGRAMMING. PRODUCTION AND OPERATIONS MANAGEMENT[Internet]. 2017;8(1 (14) ):119-137. Available from: https://sid.ir/paper/217586/en

    IEEE: Copy

    HADI SHAHMORADI, SAEIDEH KETABI, and MAJID ESMAELIAN, “UNIVERSITY COURSE TIMETABLING USING CONSTRAINT PROGRAMMING,” PRODUCTION AND OPERATIONS MANAGEMENT, vol. 8, no. 1 (14) , pp. 119–137, 2017, [Online]. Available: https://sid.ir/paper/217586/en

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