Solving University Scheduling Problem Using Hybrid Approach
In universities scheduling curriculum activity is an essential job. Primarily, scheduling is a distribution of limited resources under interrelated constraints. The set of hard constraints demand the highest priority and should not to be violated at any cost, while the maximum soft constraints...
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Mehran University of Engineering and Technology
2011-10-01
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Online Access: | http://publications.muet.edu.pk/research_papers/pdf/pdf169.pdf |
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doaj-007e831dfc73438c9ba4228393a5782d2020-11-24T23:53:37ZengMehran University of Engineering and TechnologyMehran University Research Journal of Engineering and Technology0254-78212413-72192011-10-01304613624169Solving University Scheduling Problem Using Hybrid ApproachAftab Ahmed ShaikhAbdul Hussain Shah BukhariZubair Ahmed MemonIn universities scheduling curriculum activity is an essential job. Primarily, scheduling is a distribution of limited resources under interrelated constraints. The set of hard constraints demand the highest priority and should not to be violated at any cost, while the maximum soft constraints satisfaction mounts the quality scale of solution. In this research paper, a novel bisected approach is introduced that is comprisesd of GA (Genetic Algorithm) as well as Backtracking Recursive Search. The employed technique deals with both hard and soft constraints successively. The first phase decisively is focused over elimination of all the hard constraints bounded violations and eventually produces partial solution for subsequent step. The second phase is supposed to draw the best possible solution on the search space. Promising results are obtained by implementation on the real dataset. The key points of the research approach are to get assurance of hard constraints removal from the dataset and minimizing computational time for GA by initializing pre-processed set of chromosomes.http://publications.muet.edu.pk/research_papers/pdf/pdf169.pdfCourse Timetabling ProblemGABacktracking Recursive Search. |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Aftab Ahmed Shaikh Abdul Hussain Shah Bukhari Zubair Ahmed Memon |
spellingShingle |
Aftab Ahmed Shaikh Abdul Hussain Shah Bukhari Zubair Ahmed Memon Solving University Scheduling Problem Using Hybrid Approach Mehran University Research Journal of Engineering and Technology Course Timetabling Problem GA Backtracking Recursive Search. |
author_facet |
Aftab Ahmed Shaikh Abdul Hussain Shah Bukhari Zubair Ahmed Memon |
author_sort |
Aftab Ahmed Shaikh |
title |
Solving University Scheduling Problem Using Hybrid Approach |
title_short |
Solving University Scheduling Problem Using Hybrid Approach |
title_full |
Solving University Scheduling Problem Using Hybrid Approach |
title_fullStr |
Solving University Scheduling Problem Using Hybrid Approach |
title_full_unstemmed |
Solving University Scheduling Problem Using Hybrid Approach |
title_sort |
solving university scheduling problem using hybrid approach |
publisher |
Mehran University of Engineering and Technology |
series |
Mehran University Research Journal of Engineering and Technology |
issn |
0254-7821 2413-7219 |
publishDate |
2011-10-01 |
description |
In universities scheduling curriculum activity is an essential job. Primarily, scheduling is a distribution of limited resources under interrelated constraints. The set of hard constraints demand the highest priority and should not to be violated at any cost, while the maximum soft constraints satisfaction mounts the quality scale of solution. In this research paper, a novel bisected approach is introduced that is comprisesd of GA (Genetic Algorithm) as well as Backtracking Recursive Search. The employed technique deals with both hard and soft constraints successively. The first phase decisively is focused over elimination of all the hard constraints bounded violations and eventually produces partial solution for subsequent step. The second phase is supposed to draw the best possible solution on the search space. Promising results are obtained by implementation on the real dataset. The key points of the research approach are to get assurance of hard constraints removal from the dataset and minimizing computational time for GA by initializing pre-processed set of chromosomes. |
topic |
Course Timetabling Problem GA Backtracking Recursive Search. |
url |
http://publications.muet.edu.pk/research_papers/pdf/pdf169.pdf |
work_keys_str_mv |
AT aftabahmedshaikh solvinguniversityschedulingproblemusinghybridapproach AT abdulhussainshahbukhari solvinguniversityschedulingproblemusinghybridapproach AT zubairahmedmemon solvinguniversityschedulingproblemusinghybridapproach |
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