Comparison of PSO and de for truck scheduling in multi-door cross docking terminals

© 2017 IEEE. This paper presents an application of the modified version of Differential Evolution, call 2-Stage DE (2S-DE), for solving the transshipment of multiple product types in a multi-door cross docking system when a storage is allowed to be temporarily hold at the shipping dock. The objectiv...

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Main Authors: W. Wisittipanich, P. Hengmeechai
Format: Conference Proceeding
Published: 2018
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Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85045251088&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/58372
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-583722018-09-05T04:28:39Z Comparison of PSO and de for truck scheduling in multi-door cross docking terminals W. Wisittipanich P. Hengmeechai Business, Management and Accounting Engineering © 2017 IEEE. This paper presents an application of the modified version of Differential Evolution, call 2-Stage DE (2S-DE), for solving the transshipment of multiple product types in a multi-door cross docking system when a storage is allowed to be temporarily hold at the shipping dock. The objective is to find the truck schedule that minimizes the makespan. The performances of the proposed 2S-DE are evaluated and compared with the original DE and the GLNPSO previously published in literature. Using a set of generated instances, the experimental results show that all algorithms are able to find optimal solutions in small-size problems easily. However, when the problem becomes more complex, 2S-DE is superior to the GLNPSO and the original DE since it statistically shows outstanding results in terms of solution quality and convergence behavior. 2018-09-05T04:23:15Z 2018-09-05T04:23:15Z 2018-02-09 Conference Proceeding 2157362X 21573611 2-s2.0-85045251088 10.1109/IEEM.2017.8289849 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85045251088&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/58372
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Business, Management and Accounting
Engineering
spellingShingle Business, Management and Accounting
Engineering
W. Wisittipanich
P. Hengmeechai
Comparison of PSO and de for truck scheduling in multi-door cross docking terminals
description © 2017 IEEE. This paper presents an application of the modified version of Differential Evolution, call 2-Stage DE (2S-DE), for solving the transshipment of multiple product types in a multi-door cross docking system when a storage is allowed to be temporarily hold at the shipping dock. The objective is to find the truck schedule that minimizes the makespan. The performances of the proposed 2S-DE are evaluated and compared with the original DE and the GLNPSO previously published in literature. Using a set of generated instances, the experimental results show that all algorithms are able to find optimal solutions in small-size problems easily. However, when the problem becomes more complex, 2S-DE is superior to the GLNPSO and the original DE since it statistically shows outstanding results in terms of solution quality and convergence behavior.
format Conference Proceeding
author W. Wisittipanich
P. Hengmeechai
author_facet W. Wisittipanich
P. Hengmeechai
author_sort W. Wisittipanich
title Comparison of PSO and de for truck scheduling in multi-door cross docking terminals
title_short Comparison of PSO and de for truck scheduling in multi-door cross docking terminals
title_full Comparison of PSO and de for truck scheduling in multi-door cross docking terminals
title_fullStr Comparison of PSO and de for truck scheduling in multi-door cross docking terminals
title_full_unstemmed Comparison of PSO and de for truck scheduling in multi-door cross docking terminals
title_sort comparison of pso and de for truck scheduling in multi-door cross docking terminals
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85045251088&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/58372
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