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| Content Provider | Springer Nature Link |
|---|---|
| Author | Abdullah, Salwani Ahmadi, Samad Burke, Edmund K. Dror, Moshe |
| Copyright Year | 2006 |
| Abstract | Since the 1960s, automated approaches to examination timetabling have been explored and a wide variety of approaches have been investigated and developed. In this paper we build upon a recently presented, sequential solution improvement technique which searches efficiently over a very large set of “adjacent” (neighbourhood) solutions. This solution search methodology, originally developed by Ahuja and Orlin, has been applied successfully in the past to a number of difficult combinatorial optimisation problems. It is based on an improvement graph representation of solution adjacency and identifies improvement moves by finding cycle exchange operations using a modified shortest path label-correcting algorithm. We have drawn upon Ahuja–Orlin’s basic methodology to develop an effective automated exam timetabling technique. We have evaluated our approach against the latest methodologies in the literature on standard benchmark problems. We demonstrate that our approach produces some of the best known results on these problems. |
| Starting Page | 351 |
| Ending Page | 372 |
| Page Count | 22 |
| File Format | |
| ISSN | 01716468 |
| Journal | OR Spectrum |
| Volume Number | 29 |
| Issue Number | 2 |
| e-ISSN | 14366304 |
| Language | English |
| Publisher | Springer-Verlag |
| Publisher Date | 2006-03-25 |
| Publisher Place | Berlin, Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Examination timetabling Large neighbourhood Improvement graph Business/Management Science Calculus of Variations and Optimal Control; Optimization Operations Research/Decision Theory |
| Content Type | Text |
| Resource Type | Article |
| Subject | Management Science and Operations Research Business, Management and Accounting |
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