Formulation of low level heuristics
The curricula scheduling is very significant and largely studied problem in academia. The desired solution calculatedly assembles the academic events over the carefully designed layout considering several predefined interlinked constraints. The contemporary research for solving scheduling constraint...
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ftsciencepubcorp:oai:ojs.pkp.sfu.ca:article/4001 2023-05-15T18:12:19+02:00 Formulation of low level heuristics Shaikh, Aftab Ahmed Raziq, Abdul Muhammad, Jan Brohi, Manzoor Ali 2014-12-18 application/pdf https://www.sciencepubco.com/index.php/ijbas/article/view/4001 https://doi.org/10.14419/ijbas.v4i1.4001 eng eng Science Publishing Corporation https://www.sciencepubco.com/index.php/ijbas/article/view/4001/1517 https://www.sciencepubco.com/index.php/ijbas/article/view/4001 doi:10.14419/ijbas.v4i1.4001 Copyright (c) 2014 International Journal of Basic and Applied Sciences International Journal of Basic and Applied Sciences; Vol 4, No 1 (2015); 44-50 2227-5053 10.14419/ijbas.v4i1 Curricula Scheduling Constraints Low Level Heuristics info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article 2014 ftsciencepubcorp https://doi.org/10.14419/ijbas.v4i1.4001 https://doi.org/10.14419/ijbas.v4i1 2022-03-22T07:22:25Z The curricula scheduling is very significant and largely studied problem in academia. The desired solution calculatedly assembles the academic events over the carefully designed layout considering several predefined interlinked constraints. The contemporary research for solving scheduling constraints is inclined to raise the degree of generality, so that a wide range of identical problems may be addressed. The hyper-heuristic is such a state-of-the-art solving technique which stands on multi-layered framework. The top layer usually consists of classic algorithm for managing the operators on down-layers, and the same is occasionally assisted by machine learning or similar techniques. This research article examines the performance of the small group of bespoke low level heuristics. These LLHs are operated by hyper-heuristic to address the specific scheduling constraints. The set of heuristics are divided into a range of subgroups including timescale category which contain two subsets Day and Period. The utility group which contains two patterns named Shift and Swap techniques, while the third category encircles three more subgroups of Random or Sami-Random and Progressive. Article in Journal/Newspaper sami Science Publishing Corporation (SPC): E-Journals International Journal of Basic and Applied Sciences 4 1 44 |
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Science Publishing Corporation (SPC): E-Journals |
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ftsciencepubcorp |
language |
English |
topic |
Curricula Scheduling Constraints Low Level Heuristics |
spellingShingle |
Curricula Scheduling Constraints Low Level Heuristics Shaikh, Aftab Ahmed Raziq, Abdul Muhammad, Jan Brohi, Manzoor Ali Formulation of low level heuristics |
topic_facet |
Curricula Scheduling Constraints Low Level Heuristics |
description |
The curricula scheduling is very significant and largely studied problem in academia. The desired solution calculatedly assembles the academic events over the carefully designed layout considering several predefined interlinked constraints. The contemporary research for solving scheduling constraints is inclined to raise the degree of generality, so that a wide range of identical problems may be addressed. The hyper-heuristic is such a state-of-the-art solving technique which stands on multi-layered framework. The top layer usually consists of classic algorithm for managing the operators on down-layers, and the same is occasionally assisted by machine learning or similar techniques. This research article examines the performance of the small group of bespoke low level heuristics. These LLHs are operated by hyper-heuristic to address the specific scheduling constraints. The set of heuristics are divided into a range of subgroups including timescale category which contain two subsets Day and Period. The utility group which contains two patterns named Shift and Swap techniques, while the third category encircles three more subgroups of Random or Sami-Random and Progressive. |
format |
Article in Journal/Newspaper |
author |
Shaikh, Aftab Ahmed Raziq, Abdul Muhammad, Jan Brohi, Manzoor Ali |
author_facet |
Shaikh, Aftab Ahmed Raziq, Abdul Muhammad, Jan Brohi, Manzoor Ali |
author_sort |
Shaikh, Aftab Ahmed |
title |
Formulation of low level heuristics |
title_short |
Formulation of low level heuristics |
title_full |
Formulation of low level heuristics |
title_fullStr |
Formulation of low level heuristics |
title_full_unstemmed |
Formulation of low level heuristics |
title_sort |
formulation of low level heuristics |
publisher |
Science Publishing Corporation |
publishDate |
2014 |
url |
https://www.sciencepubco.com/index.php/ijbas/article/view/4001 https://doi.org/10.14419/ijbas.v4i1.4001 |
genre |
sami |
genre_facet |
sami |
op_source |
International Journal of Basic and Applied Sciences; Vol 4, No 1 (2015); 44-50 2227-5053 10.14419/ijbas.v4i1 |
op_relation |
https://www.sciencepubco.com/index.php/ijbas/article/view/4001/1517 https://www.sciencepubco.com/index.php/ijbas/article/view/4001 doi:10.14419/ijbas.v4i1.4001 |
op_rights |
Copyright (c) 2014 International Journal of Basic and Applied Sciences |
op_doi |
https://doi.org/10.14419/ijbas.v4i1.4001 https://doi.org/10.14419/ijbas.v4i1 |
container_title |
International Journal of Basic and Applied Sciences |
container_volume |
4 |
container_issue |
1 |
container_start_page |
44 |
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1766184869675663360 |