A neural network model for the common due date job scheduling on unrelated parallel machines

This paper presents an approach for scheduling under a common due date on parallel unrelated machine problems based on artificial neural network. The objective is to allocate and sequence the jobs on the machines so that the total cost is minimized. The total cost is the sum of the total earliness a...

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Main Authors:	Hamad, S, Sanugi, Bahrom, Salleh, Shahruddin Hussain
Format:	Article
Published:	Elsevier Ltd. 2003
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://eprints.utm.my/id/eprint/7530/ http://dx.doi.org/10.1080/0020716031000103358
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Institution:	Universiti Teknologi Malaysia

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spelling	my.utm.75302009-01-08T01:19:19Z http://eprints.utm.my/id/eprint/7530/ A neural network model for the common due date job scheduling on unrelated parallel machines Hamad, S Sanugi, Bahrom Salleh, Shahruddin Hussain QA75 Electronic computers. Computer science This paper presents an approach for scheduling under a common due date on parallel unrelated machine problems based on artificial neural network. The objective is to allocate and sequence the jobs on the machines so that the total cost is minimized. The total cost is the sum of the total earliness and the total tardiness cost. The multilayer Perceptron (MLP) neural network is a suitable model in our study due to the fact that the problem is NP-hard. In our study, neural network has been proven to be effective and robust in generating near optimal solutions to the problem. Elsevier Ltd. 2003-07 Article PeerReviewed Hamad, S and Sanugi, Bahrom and Salleh, Shahruddin Hussain (2003) A neural network model for the common due date job scheduling on unrelated parallel machines. International Journal of Computer Mathematics, 80 (7). pp. 845-851. http://dx.doi.org/10.1080/0020716031000103358 10.1080/0020716031000103358
institution	Universiti Teknologi Malaysia
building	UTM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Malaysia
content_source	UTM Institutional Repository
url_provider	http://eprints.utm.my/
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Hamad, S Sanugi, Bahrom Salleh, Shahruddin Hussain A neural network model for the common due date job scheduling on unrelated parallel machines
description	This paper presents an approach for scheduling under a common due date on parallel unrelated machine problems based on artificial neural network. The objective is to allocate and sequence the jobs on the machines so that the total cost is minimized. The total cost is the sum of the total earliness and the total tardiness cost. The multilayer Perceptron (MLP) neural network is a suitable model in our study due to the fact that the problem is NP-hard. In our study, neural network has been proven to be effective and robust in generating near optimal solutions to the problem.
format	Article
author	Hamad, S Sanugi, Bahrom Salleh, Shahruddin Hussain
author_facet	Hamad, S Sanugi, Bahrom Salleh, Shahruddin Hussain
author_sort	Hamad, S
title	A neural network model for the common due date job scheduling on unrelated parallel machines
title_short	A neural network model for the common due date job scheduling on unrelated parallel machines
title_full	A neural network model for the common due date job scheduling on unrelated parallel machines
title_fullStr	A neural network model for the common due date job scheduling on unrelated parallel machines
title_full_unstemmed	A neural network model for the common due date job scheduling on unrelated parallel machines
title_sort	neural network model for the common due date job scheduling on unrelated parallel machines
publisher	Elsevier Ltd.
publishDate	2003
url	http://eprints.utm.my/id/eprint/7530/ http://dx.doi.org/10.1080/0020716031000103358
_version_	1643644791238426624

A neural network model for the common due date job scheduling on unrelated parallel machines

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