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ABSTRACT
ISSN: 0975-4024
| Title |
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Two-Stage Multi-Objective University Courses Timetabling Using Genetic Algorithms |
| Authors |
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M. S. Al-Ashhab, Abdulrahman Alghamdi |
| Keywords |
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UCTT, Optimization, GA, Evolver |
| Issue Date |
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Aug-Sep 2018 |
| Abstract |
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In this paper, a University Courses Timetabling (UCTT) optimization model has been developed in MS Excel environment and solved using Evolver solver based on Genetic Algorithms.The proposed model has two stages, which may be used together or individually in accordance with the philosophy of the university. The proposed model was implemented to schedule the courses in the Mechanical Engineering Department of Umm Al-Qura University, and it provided an optimal schedule. |
| Page(s) |
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1102-1111 |
| ISSN |
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0975-4024 (Online) 2319-8613 (Print) |
| Source |
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Vol. 10, No.4 |
| PDF |
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Download |
| DOI |
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10.21817/ijet/2018/v10i4/181004030 |
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