A hybridized Lagrangian relaxation and simulated annealing method for the course timetabling problem
This paper describes a timetabling problem at universities, where a master course timetable is given extrinsically and conflicts due to students' course enrollment do not need to be considered. A solver for the problem, which integrates both teacher assignment and course scheduling, is describe...
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| المؤلفون الرئيسيون: | , |
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| التنسيق: | text |
| اللغة: | English |
| منشور في: |
Institutional Knowledge at Singapore Management University
2012
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://ink.library.smu.edu.sg/sis_research/3983 https://ink.library.smu.edu.sg/context/sis_research/article/4985/viewcontent/A_hybridized_Lagrangian_relaxation_and_simulated_annealing_method_for_the_course_timetabling_problem.pdf |
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| المؤسسة: | Singapore Management University |
| اللغة: | English |
| الملخص: | This paper describes a timetabling problem at universities, where a master course timetable is given extrinsically and conflicts due to students' course enrollment do not need to be considered. A solver for the problem, which integrates both teacher assignment and course scheduling, is described. An initial solution is obtained by a mathematical programming approach based on Lagrangian relaxation. This solution is further improved by a simulated annealing algorithm. The proposed method has been tested on instances from a university in Indonesia, as well as on several randomly generated datasets, and the corresponding computational results are reported. |
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