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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Malik, A.M.A. Ayob, M. Hamdan, A.R. |
| Copyright Year | 2009 |
| Description | Author affiliation: Data Mining & Optimization Research Group, Center of Artificial Intelligence Technology, University Kebangsaan Malaysia, 43600 UKM Bangi, Selangor, Malaysia (Malik, A.M.A.; Ayob, M.; Hamdan, A.R.) |
| Abstract | In this research, we introduce a set of multi-neighbourhood strategies of iterated two-stage tabu search, ITMTS, to solve examination timetabling problems. This work is based on the standard tabu search with some modifications that are derived from the neighbourhood structure. The neighbourhood structure has divided the neighbourhood search mechanism into two stages, vertical neighbourhood search and horizontal neighbourhood search. These search mechanisms will work alternately with different neighbourhood concentration and candidate evaluation. We test and evaluate ITMTS with the uncapacitated Carter benchmark datasets and standard Carter's proximity cost. Our results are comparable with other approaches that have been reported in the literature with regards to the Carter's benchmark dataset and have shown as a promising technique to be further enhanced. |
| Starting Page | 141 |
| Ending Page | 148 |
| File Size | 157086 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424449446 |
| DOI | 10.1109/DMO.2009.5341897 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-10-27 |
| Publisher Place | Malaysia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Costs Optimization methods Switches Multi-neighbourhood structures Data mining Iterated two-stage tabu search Tree graphs Short-term tabu list Benchmark testing Longer-term tabu list Token networks Meta-heuristic Time factors Artificial intelligence |
| Content Type | Text |
| Resource Type | Article |
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