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Using scatter search algorithm in implementing examination timetabling problem

University of Anbar like whatever other universities of higher education, faces comparable issue and is utilized as real case in hs study. Setting up the examination timetable takes a significant paJt of the depaJtment head's role and it includes all the dstinctive tools the errand is overpower...

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Main Authors: Mohammed M.A., Ghani M.K.A., Mostafa S.A., Ibrahim D.A.
Other Authors: 57192089894
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Published: Medwell Journals 2023
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spelling my.uniten.dspace-233662023-05-29T14:39:49Z Using scatter search algorithm in implementing examination timetabling problem Mohammed M.A. Ghani M.K.A. Mostafa S.A. Ibrahim D.A. 57192089894 24491611800 37036085800 57191545030 University of Anbar like whatever other universities of higher education, faces comparable issue and is utilized as real case in hs study. Setting up the examination timetable takes a significant paJt of the depaJtment head's role and it includes all the dstinctive tools the errand is overpowering. Timetabling is confounded because of various reasom table such as limited time to create schedule, number of halls usually is specific, number of staffwork on create timetable is limited and etc. Attempt to find an optimal result for timetable scheduling of Anbar university by using Scatter Search Algorithm (SSA). To acheve an optimal solution for timetable scheduling of Anbar university with the accompanying targets: to create a tool for final examination time tabling for the colleges in university of Anbar and to investigate the efficiency and the performance of the SSA operators includng adaptive mutation and other schemes on the SS. The approach has been presented to improve the efficiency and accuracy of scheduling examination timetables and improve the speed of preparing the schedule. The study investigates the most suitable parameters of Scatter Search algorithm for the population based algorithm. The findings outcome from this study have shown that. The results showedthe ability to evaluate the performance of SS between the dfferent operators, hence identifying the best results. The adaptive mutation demomtrated its ability as well to provide variety in the generations and as result the SS was able to explore more variety of solutions and then better solution was found. The optimal settings and configurations found have demomtrated their accurateness and suitability to produce better quality timetable representing veIy good solution to the problem being addressed. The proposed techmque is tested and validated with real case study data and the results are satisfactory The SS performance is examined in light of the varieties of the chose parameters. The best outcomes are gotten in direct population of 50 tests, 150 generatiom. � Medwell Journals, 2017. Final 2023-05-29T06:39:48Z 2023-05-29T06:39:48Z 2017 Article 2-s2.0-85042162679 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85042162679&partnerID=40&md5=4a2880b339c852bab428d3127fbcea5c https://irepository.uniten.edu.my/handle/123456789/23366 12 18 4792 4800 Medwell Journals Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description University of Anbar like whatever other universities of higher education, faces comparable issue and is utilized as real case in hs study. Setting up the examination timetable takes a significant paJt of the depaJtment head's role and it includes all the dstinctive tools the errand is overpowering. Timetabling is confounded because of various reasom table such as limited time to create schedule, number of halls usually is specific, number of staffwork on create timetable is limited and etc. Attempt to find an optimal result for timetable scheduling of Anbar university by using Scatter Search Algorithm (SSA). To acheve an optimal solution for timetable scheduling of Anbar university with the accompanying targets: to create a tool for final examination time tabling for the colleges in university of Anbar and to investigate the efficiency and the performance of the SSA operators includng adaptive mutation and other schemes on the SS. The approach has been presented to improve the efficiency and accuracy of scheduling examination timetables and improve the speed of preparing the schedule. The study investigates the most suitable parameters of Scatter Search algorithm for the population based algorithm. The findings outcome from this study have shown that. The results showedthe ability to evaluate the performance of SS between the dfferent operators, hence identifying the best results. The adaptive mutation demomtrated its ability as well to provide variety in the generations and as result the SS was able to explore more variety of solutions and then better solution was found. The optimal settings and configurations found have demomtrated their accurateness and suitability to produce better quality timetable representing veIy good solution to the problem being addressed. The proposed techmque is tested and validated with real case study data and the results are satisfactory The SS performance is examined in light of the varieties of the chose parameters. The best outcomes are gotten in direct population of 50 tests, 150 generatiom. � Medwell Journals, 2017.
author2 57192089894
author_facet 57192089894
Mohammed M.A.
Ghani M.K.A.
Mostafa S.A.
Ibrahim D.A.
format Article
author Mohammed M.A.
Ghani M.K.A.
Mostafa S.A.
Ibrahim D.A.
spellingShingle Mohammed M.A.
Ghani M.K.A.
Mostafa S.A.
Ibrahim D.A.
Using scatter search algorithm in implementing examination timetabling problem
author_sort Mohammed M.A.
title Using scatter search algorithm in implementing examination timetabling problem
title_short Using scatter search algorithm in implementing examination timetabling problem
title_full Using scatter search algorithm in implementing examination timetabling problem
title_fullStr Using scatter search algorithm in implementing examination timetabling problem
title_full_unstemmed Using scatter search algorithm in implementing examination timetabling problem
title_sort using scatter search algorithm in implementing examination timetabling problem
publisher Medwell Journals
publishDate 2023
_version_ 1806427892011237376
score 13.223943

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