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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Online Access: | http://umpir.ump.edu.my/id/eprint/25670/1/18.1%20A%20comparison%20of%20simulated%20annealing%20cooling%20strategies.pdf http://umpir.ump.edu.my/id/eprint/25670/ https://doi.org/10.1088/1742-6596/1366/1/012078 |
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my.ump.umpir.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). https://doi.org/10.1088/1742-6596/1366/1/012078 |
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TD Environmental technology. Sanitary engineering Rozieana, Khairuddin Zaitul Marlizawati, Zainuddin A comparison of simulated annealing cooling strategies for redesigning a warehouse network problem |
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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. |
format |
Conference or Workshop Item |
author |
Rozieana, Khairuddin Zaitul Marlizawati, Zainuddin |
author_facet |
Rozieana, Khairuddin Zaitul Marlizawati, Zainuddin |
author_sort |
Rozieana, Khairuddin |
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 |
publisher |
IOP Publishing |
publishDate |
2019 |
url |
http://umpir.ump.edu.my/id/eprint/25670/1/18.1%20A%20comparison%20of%20simulated%20annealing%20cooling%20strategies.pdf http://umpir.ump.edu.my/id/eprint/25670/ https://doi.org/10.1088/1742-6596/1366/1/012078 |
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