Finding optimum facility’s layout by developed simulated annealing algorithm

The Quadratic Assignment Problem (QAP) is one of the problems of combinatorial optimization belonging to the NP-hard problems’ class and has a wide application in the placement of facilities. Thus far, many efforts have been made to solve this problem and countless algorithms have been developed to...

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Main Authors: H. Jafari, M. Ehsanifar, A. Sheykhan
Format: Article
Language:English
Published: Ayandegan Institute of Higher Education, 2020-06-01
Series:International Journal of Research in Industrial Engineering
Subjects:
Online Access:http://www.riejournal.com/article_107113_fd32d15dc611b92c9a317dd6dbdda604.pdf
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author H. Jafari
M. Ehsanifar
A. Sheykhan
author_facet H. Jafari
M. Ehsanifar
A. Sheykhan
author_sort H. Jafari
collection DOAJ
description The Quadratic Assignment Problem (QAP) is one of the problems of combinatorial optimization belonging to the NP-hard problems’ class and has a wide application in the placement of facilities. Thus far, many efforts have been made to solve this problem and countless algorithms have been developed to achieve the optimal solutions; one of which is the Simulated Annealing (SA) algorithm. This paper aims at finding a suitable layout for the facilities of an industrial workshop by using a Developed Simulated Annealing (DSA) method.
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spelling doaj.art-204cdca70c6a4c75bb4a3496fad8e3a32022-12-21T18:25:26ZengAyandegan Institute of Higher Education,International Journal of Research in Industrial Engineering2783-13372717-29372020-06-019217218210.22105/riej.2020.218913.1119107113Finding optimum facility’s layout by developed simulated annealing algorithmH. Jafari0M. Ehsanifar1A. Sheykhan2Young Researchers and Elite Club, Arak Branch, Islamic Azad Univercity, Arak, Iran.Department of Industrial Engineering, Islamic Azad University of Arak, Arak, Iran.Department of Industrial Engineering, Islamic Azad University of Arak, Arak, Iran.The Quadratic Assignment Problem (QAP) is one of the problems of combinatorial optimization belonging to the NP-hard problems’ class and has a wide application in the placement of facilities. Thus far, many efforts have been made to solve this problem and countless algorithms have been developed to achieve the optimal solutions; one of which is the Simulated Annealing (SA) algorithm. This paper aims at finding a suitable layout for the facilities of an industrial workshop by using a Developed Simulated Annealing (DSA) method.http://www.riejournal.com/article_107113_fd32d15dc611b92c9a317dd6dbdda604.pdfsimulated annealingmeta-heuristicfacility layout problem(flp)dsa method
spellingShingle H. Jafari
M. Ehsanifar
A. Sheykhan
Finding optimum facility’s layout by developed simulated annealing algorithm
International Journal of Research in Industrial Engineering
simulated annealing
meta-heuristic
facility layout problem(flp)
dsa method
title Finding optimum facility’s layout by developed simulated annealing algorithm
title_full Finding optimum facility’s layout by developed simulated annealing algorithm
title_fullStr Finding optimum facility’s layout by developed simulated annealing algorithm
title_full_unstemmed Finding optimum facility’s layout by developed simulated annealing algorithm
title_short Finding optimum facility’s layout by developed simulated annealing algorithm
title_sort finding optimum facility s layout by developed simulated annealing algorithm
topic simulated annealing
meta-heuristic
facility layout problem(flp)
dsa method
url http://www.riejournal.com/article_107113_fd32d15dc611b92c9a317dd6dbdda604.pdf
work_keys_str_mv AT hjafari findingoptimumfacilityslayoutbydevelopedsimulatedannealingalgorithm
AT mehsanifar findingoptimumfacilityslayoutbydevelopedsimulatedannealingalgorithm
AT asheykhan findingoptimumfacilityslayoutbydevelopedsimulatedannealingalgorithm