Job shop rescheduling using a hybrid artificial immune system and genetic algorithm model

This paper discusses on developing a hybrid model to tackle the problem of changing environment in the job shop scheduling problem.The main idea is to develop building blocks of partial schedules using the model developed that can be used to provide backup solutions when disturbances occur during pr...

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Main Authors:	Mohamed Din, Aniza, Ku-Mahamud, Ku Ruhana, Yusof, Yuhanis, Mahmuddin, Massudi
Format:	Conference or Workshop Item
Language:	English
Published:	2012
Subjects:	QA76 Computer software
Online Access:	http://repo.uum.edu.my/6975/1/P9_-_ICCCT.pdf http://repo.uum.edu.my/6975/
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Institution:	Universiti Utara Malaysia
Language:	English

id	my.uum.repo.6975
record_format	eprints
spelling	my.uum.repo.69752013-01-21T01:10:04Z http://repo.uum.edu.my/6975/ Job shop rescheduling using a hybrid artificial immune system and genetic algorithm model Mohamed Din, Aniza Ku-Mahamud, Ku Ruhana Yusof, Yuhanis Mahmuddin, Massudi QA76 Computer software This paper discusses on developing a hybrid model to tackle the problem of changing environment in the job shop scheduling problem.The main idea is to develop building blocks of partial schedules using the model developed that can be used to provide backup solutions when disturbances occur during production.This model hybridizes genetic algorithm (GA) with artificial immune systems (AIS) techniques to generate these partial schedules.Each partial schedule, also known as antibody, is assigned a fitness value for the selection of final population of best partial schedules. The results of the analysis are compared with previous research. Future works on this study are also discussed. 2012-12-03 Conference or Workshop Item NonPeerReviewed application/pdf en http://repo.uum.edu.my/6975/1/P9_-_ICCCT.pdf Mohamed Din, Aniza and Ku-Mahamud, Ku Ruhana and Yusof, Yuhanis and Mahmuddin, Massudi (2012) Job shop rescheduling using a hybrid artificial immune system and genetic algorithm model. In: 7th International Conference on Computing and Convergence Technology, 03-05 December 2012, Seoul, Korea.
institution	Universiti Utara Malaysia
building	UUM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Utara Malaysia
content_source	UUM Institutionali Repository
url_provider	http://repo.uum.edu.my/
language	English
topic	QA76 Computer software
spellingShingle	QA76 Computer software Mohamed Din, Aniza Ku-Mahamud, Ku Ruhana Yusof, Yuhanis Mahmuddin, Massudi Job shop rescheduling using a hybrid artificial immune system and genetic algorithm model
description	This paper discusses on developing a hybrid model to tackle the problem of changing environment in the job shop scheduling problem.The main idea is to develop building blocks of partial schedules using the model developed that can be used to provide backup solutions when disturbances occur during production.This model hybridizes genetic algorithm (GA) with artificial immune systems (AIS) techniques to generate these partial schedules.Each partial schedule, also known as antibody, is assigned a fitness value for the selection of final population of best partial schedules. The results of the analysis are compared with previous research. Future works on this study are also discussed.
format	Conference or Workshop Item
author	Mohamed Din, Aniza Ku-Mahamud, Ku Ruhana Yusof, Yuhanis Mahmuddin, Massudi
author_facet	Mohamed Din, Aniza Ku-Mahamud, Ku Ruhana Yusof, Yuhanis Mahmuddin, Massudi
author_sort	Mohamed Din, Aniza
title	Job shop rescheduling using a hybrid artificial immune system and genetic algorithm model
title_short	Job shop rescheduling using a hybrid artificial immune system and genetic algorithm model
title_full	Job shop rescheduling using a hybrid artificial immune system and genetic algorithm model
title_fullStr	Job shop rescheduling using a hybrid artificial immune system and genetic algorithm model
title_full_unstemmed	Job shop rescheduling using a hybrid artificial immune system and genetic algorithm model
title_sort	job shop rescheduling using a hybrid artificial immune system and genetic algorithm model
publishDate	2012
url	http://repo.uum.edu.my/6975/1/P9_-_ICCCT.pdf http://repo.uum.edu.my/6975/
_version_	1644279413757444096

Job shop rescheduling using a hybrid artificial immune system and genetic algorithm model

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