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A comparison of simulated annealing cooling strategies for redesigning a warehouse network problem

Simulated annealing (SA) is considered a valuable stochastic technique for resolving difficulties associated with comprehensive multidimensional optimisation, which guarantees optimal global convergence. This study explores the use of SA to address the challenges of redesigning warehouse networks an...

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Main Authors: Khairuddin, R., Zainuddin, Z. M.
Format: Conference or Workshop Item
Language:English
Published: 2019
Subjects:
QA Mathematics
Online Access:http://eprints.utm.my/id/eprint/92639/1/ZaitulMarlizawatiZainuddin2019_AComparisonofSimulatedAnnealing.pdf
http://eprints.utm.my/id/eprint/92639/
http://dx.doi.org/10.1088/1742-6596/1366/1/012078
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spelling my.utm.926392021-10-28T10:09:42Z http://eprints.utm.my/id/eprint/92639/ A comparison of simulated annealing cooling strategies for redesigning a warehouse network problem Khairuddin, R. Zainuddin, Z. M. QA Mathematics Simulated annealing (SA) is considered a valuable stochastic technique for resolving difficulties associated with comprehensive multidimensional optimisation, which guarantees optimal global convergence. This study explores the use of SA to address the challenges of redesigning warehouse networks and relates the effectiveness of three (3) diverse SA cooling schedules, namely; the basic geometric, logarithmic, and linear. The broad computational findings performed and described in the study indicate that the geometric cooling schedule generates consistent, superior quality, and timely solutions compared to the other schemes. 2019 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/92639/1/ZaitulMarlizawatiZainuddin2019_AComparisonofSimulatedAnnealing.pdf Khairuddin, R. and Zainuddin, Z. M. (2019) A comparison of simulated annealing cooling strategies for redesigning a warehouse network problem. In: 2nd International Conference on Applied and Industrial Mathematics and Statistics 2019, ICoAIMS 2019, 23-25 July 2019, Kuantan, Pahang. http://dx.doi.org/10.1088/1742-6596/1366/1/012078
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/
language English
topic QA Mathematics
spellingShingle QA Mathematics
Khairuddin, R.
Zainuddin, Z. M.
A comparison of simulated annealing cooling strategies for redesigning a warehouse network problem
description Simulated annealing (SA) is considered a valuable stochastic technique for resolving difficulties associated with comprehensive multidimensional optimisation, which guarantees optimal global convergence. This study explores the use of SA to address the challenges of redesigning warehouse networks and relates the effectiveness of three (3) diverse SA cooling schedules, namely; the basic geometric, logarithmic, and linear. The broad computational findings performed and described in the study indicate that the geometric cooling schedule generates consistent, superior quality, and timely solutions compared to the other schemes.
format Conference or Workshop Item
author Khairuddin, R.
Zainuddin, Z. M.
author_facet Khairuddin, R.
Zainuddin, Z. M.
author_sort Khairuddin, R.
title A comparison of simulated annealing cooling strategies for redesigning a warehouse network problem
title_short A comparison of simulated annealing cooling strategies for redesigning a warehouse network problem
title_full A comparison of simulated annealing cooling strategies for redesigning a warehouse network problem
title_fullStr A comparison of simulated annealing cooling strategies for redesigning a warehouse network problem
title_full_unstemmed A comparison of simulated annealing cooling strategies for redesigning a warehouse network problem
title_sort comparison of simulated annealing cooling strategies for redesigning a warehouse network problem
publishDate 2019
url http://eprints.utm.my/id/eprint/92639/1/ZaitulMarlizawatiZainuddin2019_AComparisonofSimulatedAnnealing.pdf
http://eprints.utm.my/id/eprint/92639/
http://dx.doi.org/10.1088/1742-6596/1366/1/012078
_version_ 1715189667775643648
score 13.211869

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