Construction of initial solution population for curriculum-based course timetabling using combination of graph heuristics

The construction of population of initial solution is a crucial task in population-based metaheuristic approach for solving curriculum-based university course timetabling problem because it can affect the convergence speed and also the quality of the final solution.This paper presents an exploration...

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Main Authors: Wahid, Juliana, Mohd Hussin, Naimah
Format: Article
Language:English
Published: Universiti Teknikal Malaysia Melaka 2016
Subjects:
Online Access:https://repo.uum.edu.my/id/eprint/20503/1/JTEC%208%208%202016%2092%2095.pdf
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author Wahid, Juliana
Mohd Hussin, Naimah
author_facet Wahid, Juliana
Mohd Hussin, Naimah
author_sort Wahid, Juliana
collection UUM
description The construction of population of initial solution is a crucial task in population-based metaheuristic approach for solving curriculum-based university course timetabling problem because it can affect the convergence speed and also the quality of the final solution.This paper presents an exploration on combination of graph heuristics in construction approach in curriculum based course timetabling problem to produce a population of initial solutions.The graph heuristics were set as single and combination of two heuristics.In addition, several ways of assigning courses into room and timeslot are implemented.All settings of heuristics are then tested on the same curriculum based course timetabling problem instances and are compared with each other in terms of number of population produced.The result shows that combination of largest degree followed by saturation degree heuristic produce the highest number of population of initial solutions.The results from this study can be used in the improvement phase of algorithm that uses population of initial solutions
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spelling uum-205032017-01-03T03:39:12Z https://repo.uum.edu.my/id/eprint/20503/ Construction of initial solution population for curriculum-based course timetabling using combination of graph heuristics Wahid, Juliana Mohd Hussin, Naimah QA75 Electronic computers. Computer science The construction of population of initial solution is a crucial task in population-based metaheuristic approach for solving curriculum-based university course timetabling problem because it can affect the convergence speed and also the quality of the final solution.This paper presents an exploration on combination of graph heuristics in construction approach in curriculum based course timetabling problem to produce a population of initial solutions.The graph heuristics were set as single and combination of two heuristics.In addition, several ways of assigning courses into room and timeslot are implemented.All settings of heuristics are then tested on the same curriculum based course timetabling problem instances and are compared with each other in terms of number of population produced.The result shows that combination of largest degree followed by saturation degree heuristic produce the highest number of population of initial solutions.The results from this study can be used in the improvement phase of algorithm that uses population of initial solutions Universiti Teknikal Malaysia Melaka 2016 Article PeerReviewed application/pdf en cc_by https://repo.uum.edu.my/id/eprint/20503/1/JTEC%208%208%202016%2092%2095.pdf Wahid, Juliana and Mohd Hussin, Naimah (2016) Construction of initial solution population for curriculum-based course timetabling using combination of graph heuristics. Journal of Telecommunication, Electronic and Computer Engineering, 8 (8). pp. 92-95. ISSN 2180-1843 http://journal.utem.edu.my/index.php/jtec/article/view/1325
spellingShingle QA75 Electronic computers. Computer science
Wahid, Juliana
Mohd Hussin, Naimah
Construction of initial solution population for curriculum-based course timetabling using combination of graph heuristics
title Construction of initial solution population for curriculum-based course timetabling using combination of graph heuristics
title_full Construction of initial solution population for curriculum-based course timetabling using combination of graph heuristics
title_fullStr Construction of initial solution population for curriculum-based course timetabling using combination of graph heuristics
title_full_unstemmed Construction of initial solution population for curriculum-based course timetabling using combination of graph heuristics
title_short Construction of initial solution population for curriculum-based course timetabling using combination of graph heuristics
title_sort construction of initial solution population for curriculum based course timetabling using combination of graph heuristics
topic QA75 Electronic computers. Computer science
url https://repo.uum.edu.my/id/eprint/20503/1/JTEC%208%208%202016%2092%2095.pdf
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