A novel approach for solving a capacitated location allocation problem

Location Allocation is one of the most important decision making problems, which attracted many operational researchers during recent decades and many solution procedures are developed so far to cope with this problem. This paper proposes a new graph theory based method to cope with small size capac...

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Main Authors:	Masoud Rabbani, Helia Yousefnejad
Format:	Article
Language:	English
Published:	Growing Science 2013-04-01
Series:	International Journal of Industrial Engineering Computations
Subjects:	Location Capacitated Location Allocation Graph Theory Genetic Algorithm
Online Access:	http://www.growingscience.com/ijiec/Vol4/IJIEC_2013_8.pdf

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spelling	doaj-95610abc81a948eebfa71a752bec0f8c2020-11-24T22:46:11ZengGrowing ScienceInternational Journal of Industrial Engineering Computations1923-29261923-29342013-04-0142203214A novel approach for solving a capacitated location allocation problemMasoud RabbaniHelia YousefnejadLocation Allocation is one of the most important decision making problems, which attracted many operational researchers during recent decades and many solution procedures are developed so far to cope with this problem. This paper proposes a new graph theory based method to cope with small size capacitated location allocation problems. Additionally, a genetic algorithm is utilized to solve medium and large scale problems. Finally, through some computational experiments, the quality and capability of these algorithms are shown.http://www.growingscience.com/ijiec/Vol4/IJIEC_2013_8.pdfLocationCapacitated Location AllocationGraph TheoryGenetic Algorithm
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Masoud Rabbani Helia Yousefnejad
spellingShingle	Masoud Rabbani Helia Yousefnejad A novel approach for solving a capacitated location allocation problem International Journal of Industrial Engineering Computations Location Capacitated Location Allocation Graph Theory Genetic Algorithm
author_facet	Masoud Rabbani Helia Yousefnejad
author_sort	Masoud Rabbani
title	A novel approach for solving a capacitated location allocation problem
title_short	A novel approach for solving a capacitated location allocation problem
title_full	A novel approach for solving a capacitated location allocation problem
title_fullStr	A novel approach for solving a capacitated location allocation problem
title_full_unstemmed	A novel approach for solving a capacitated location allocation problem
title_sort	novel approach for solving a capacitated location allocation problem
publisher	Growing Science
series	International Journal of Industrial Engineering Computations
issn	1923-2926 1923-2934
publishDate	2013-04-01
description	Location Allocation is one of the most important decision making problems, which attracted many operational researchers during recent decades and many solution procedures are developed so far to cope with this problem. This paper proposes a new graph theory based method to cope with small size capacitated location allocation problems. Additionally, a genetic algorithm is utilized to solve medium and large scale problems. Finally, through some computational experiments, the quality and capability of these algorithms are shown.
topic	Location Capacitated Location Allocation Graph Theory Genetic Algorithm
url	http://www.growingscience.com/ijiec/Vol4/IJIEC_2013_8.pdf
work_keys_str_mv	AT masoudrabbani anovelapproachforsolvingacapacitatedlocationallocationproblem AT heliayousefnejad anovelapproachforsolvingacapacitatedlocationallocationproblem AT masoudrabbani novelapproachforsolvingacapacitatedlocationallocationproblem AT heliayousefnejad novelapproachforsolvingacapacitatedlocationallocationproblem
_version_	1725685807130345472

A novel approach for solving a capacitated location allocation problem

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