Solving a multi-objective job shop scheduling problem using a hybrid genetic algorithm

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Bibliographic Details
Main Author:	Piroozfard, Hamed
Format:	Thesis
Published:	2013
Subjects:	TS Manufactures
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id	my-utm-ep.41987
record_format	uketd_dc
spelling	my-utm-ep.419872014-10-08T07:32:36Z Solving a multi-objective job shop scheduling problem using a hybrid genetic algorithm 2013 Piroozfard, Hamed TS Manufactures 2013 Thesis http://eprints.utm.my/id/eprint/41987/ masters Universiti Teknologi Malaysia, Faculty of Mechanical Engineering Faculty of Mechanical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
topic	TS Manufactures
spellingShingle	TS Manufactures Piroozfard, Hamed Solving a multi-objective job shop scheduling problem using a hybrid genetic algorithm
description
format	Thesis
qualification_level	Master's degree
author	Piroozfard, Hamed
author_facet	Piroozfard, Hamed
author_sort	Piroozfard, Hamed
title	Solving a multi-objective job shop scheduling problem using a hybrid genetic algorithm
title_short	Solving a multi-objective job shop scheduling problem using a hybrid genetic algorithm
title_full	Solving a multi-objective job shop scheduling problem using a hybrid genetic algorithm
title_fullStr	Solving a multi-objective job shop scheduling problem using a hybrid genetic algorithm
title_full_unstemmed	Solving a multi-objective job shop scheduling problem using a hybrid genetic algorithm
title_sort	solving a multi-objective job shop scheduling problem using a hybrid genetic algorithm
granting_institution	Universiti Teknologi Malaysia, Faculty of Mechanical Engineering
granting_department	Faculty of Mechanical Engineering
publishDate	2013
_version_	1747816664314937344

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