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

Simulated annealing (SA) has been a very useful stochastic method for solving problems of multidimensional global optimization that ensures convergence to a global optimum. This paper describes the use of SA for solving the warehouse redesigning network problem and compares the performance of three...

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Main Authors: Rozieana, Khairuddin, Zaitul Marlizawati, Zainuddin
Format: Conference or Workshop Item
Language:English
Published: IOP Publishing 2019
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/25670/
http://umpir.ump.edu.my/id/eprint/25670/1/18.1%20A%20comparison%20of%20simulated%20annealing%20cooling%20strategies.pdf
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author Rozieana, Khairuddin
Zaitul Marlizawati, Zainuddin
author_facet Rozieana, Khairuddin
Zaitul Marlizawati, Zainuddin
author_sort Rozieana, Khairuddin
building UMP Institutional Repository
collection Online Access
description Simulated annealing (SA) has been a very useful stochastic method for solving problems of multidimensional global optimization that ensures convergence to a global optimum. This paper describes the use of SA for solving the warehouse redesigning network problem and compares the performance of three different SA cooling schedules: the basic geometric cooling schedule, logarithmic and linear. Extensive computational results, which are performed and described, show that the geometric cooling schedule produces consistently better quality solutions in less time than the solutions produced by the other schemes.
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format Conference or Workshop Item
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institution Universiti Malaysia Pahang
institution_category Local University
language English
last_indexed 2025-11-15T02:39:40Z
publishDate 2019
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spelling ump-256702019-12-13T08:14:28Z http://umpir.ump.edu.my/id/eprint/25670/ A comparison of simulated annealing cooling strategies for redesigning a warehouse network problem Rozieana, Khairuddin Zaitul Marlizawati, Zainuddin TD Environmental technology. Sanitary engineering Simulated annealing (SA) has been a very useful stochastic method for solving problems of multidimensional global optimization that ensures convergence to a global optimum. This paper describes the use of SA for solving the warehouse redesigning network problem and compares the performance of three different SA cooling schedules: the basic geometric cooling schedule, logarithmic and linear. Extensive computational results, which are performed and described, show that the geometric cooling schedule produces consistently better quality solutions in less time than the solutions produced by the other schemes. IOP Publishing 2019 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/25670/1/18.1%20A%20comparison%20of%20simulated%20annealing%20cooling%20strategies.pdf Rozieana, Khairuddin and Zaitul Marlizawati, Zainuddin (2019) A comparison of simulated annealing cooling strategies for redesigning a warehouse network problem. In: ICOAIMS 2019: 2nd International Conference on Applied & Industrial Mathematics and Statistics 2019 , 23 - 25 Julai 2019 , Zenith Hotel, Kuantan, Malaysia. pp. 1-7., 1366 (1). (Published) https://doi.org/10.1088/1742-6596/1366/1/012078
spellingShingle TD Environmental technology. Sanitary engineering
Rozieana, Khairuddin
Zaitul Marlizawati, Zainuddin
A comparison of simulated annealing cooling strategies for redesigning a warehouse network problem
title 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_short 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
topic TD Environmental technology. Sanitary engineering
url http://umpir.ump.edu.my/id/eprint/25670/
http://umpir.ump.edu.my/id/eprint/25670/
http://umpir.ump.edu.my/id/eprint/25670/1/18.1%20A%20comparison%20of%20simulated%20annealing%20cooling%20strategies.pdf