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: | , |
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| 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/6653943832/48542 |
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| Institution: | Chiang Mai University |
| Summary: | © 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. |
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