A branch and bound and simulated annealing approach for job shop scheduling

This paper presents two approaches to the solution of the job shop scheduling problem, namely the branch and bound, and simulated annealing approach. The objective is to schedule the jobs on the machines so that the total completion time is minimized. In the branch and bound approach, the job shop s...

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Main Authors: Tan, Hui Woon, Salim, Sutinah
Format: Article
Language:en
Published: Department of Mathematics, Faculty of Science 2004
Subjects:
Online Access:http://eprints.utm.my/8799/1/TanHuiWoon2004_ABranchandBoundandSimulated.pdf
http://eprints.utm.my/8799/
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author Tan, Hui Woon
Salim, Sutinah
author_facet Tan, Hui Woon
Salim, Sutinah
author_sort Tan, Hui Woon
building UTM Library
collection Institutional Repository
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
continent Asia
country Malaysia
description This paper presents two approaches to the solution of the job shop scheduling problem, namely the branch and bound, and simulated annealing approach. The objective is to schedule the jobs on the machines so that the total completion time is minimized. In the branch and bound approach, the job shop scheduling problem is represented by a disjunctive graph, then the optimal schedule is obtained using the branch and bound algorithm while simulated annealing is a local search based algorithm which will slightly perturb the initial feasible solution to decrease the makespan.
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institution Universiti Teknologi Malaysia
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publishDate 2004
publisher Department of Mathematics, Faculty of Science
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spelling my.utm.eprints-87992017-10-11T01:56:42Z http://eprints.utm.my/8799/ A branch and bound and simulated annealing approach for job shop scheduling Tan, Hui Woon Salim, Sutinah QA Mathematics This paper presents two approaches to the solution of the job shop scheduling problem, namely the branch and bound, and simulated annealing approach. The objective is to schedule the jobs on the machines so that the total completion time is minimized. In the branch and bound approach, the job shop scheduling problem is represented by a disjunctive graph, then the optimal schedule is obtained using the branch and bound algorithm while simulated annealing is a local search based algorithm which will slightly perturb the initial feasible solution to decrease the makespan. Department of Mathematics, Faculty of Science 2004-06 Article PeerReviewed application/pdf en http://eprints.utm.my/8799/1/TanHuiWoon2004_ABranchandBoundandSimulated.pdf Tan, Hui Woon and Salim, Sutinah (2004) A branch and bound and simulated annealing approach for job shop scheduling. Matematika, 20 (1). pp. 1-17. ISSN 0127-8274
spellingShingle QA Mathematics
Tan, Hui Woon
Salim, Sutinah
A branch and bound and simulated annealing approach for job shop scheduling
title A branch and bound and simulated annealing approach for job shop scheduling
title_full A branch and bound and simulated annealing approach for job shop scheduling
title_fullStr A branch and bound and simulated annealing approach for job shop scheduling
title_full_unstemmed A branch and bound and simulated annealing approach for job shop scheduling
title_short A branch and bound and simulated annealing approach for job shop scheduling
title_sort branch and bound and simulated annealing approach for job shop scheduling
topic QA Mathematics
url http://eprints.utm.my/8799/1/TanHuiWoon2004_ABranchandBoundandSimulated.pdf
http://eprints.utm.my/8799/
url_provider http://eprints.utm.my/