Optimization of material supply model in an emergent disaster using differential evolution

Qi Cao; K. M. Leung

doi:10.1109/CIPLS.2014.7007172

Optimization of material supply model in an emergent disaster using differential evolution

Qi Cao, K. M. Leung

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

At present, optimization modeling has become a powerful tool to tackle emergency logistics problems. A multi-objective material supply model in an emergent disaster is first constructed in the paper. The differential evolution (DE) algorithm with constraint handling methods, specialized for the material supply model, is then presented. Finally, a simulation experiment is performed and our results are compared with those obtained using a different method. We found that the proposed algorithm can quickly and robustly approach the best solution for both the single objective function and the multi-objective model. It is a more feasible and efficient way to handle material supply optimization in emergency logistics problems.

Original language	English (US)
Title of host publication	IEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - CIPLS 2014
Subtitle of host publication	2014 IEEE Symposium on Computational Intelligence in Production and Logistics Systems, Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	134-140
Number of pages	7
ISBN (Electronic)	9781479945016
DOIs	https://doi.org/10.1109/CIPLS.2014.7007172
State	Published - 2014
Event	2014 IEEE Symposium on Computational Intelligence in Production and Logistics Systems, CIPLS 2014 - Orlando, United States Duration: Dec 9 2014 → Dec 12 2014

Publication series

Name	IEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - CIPLS 2014: 2014 IEEE Symposium on Computational Intelligence in Production and Logistics Systems, Proceedings

Other

Other	2014 IEEE Symposium on Computational Intelligence in Production and Logistics Systems, CIPLS 2014
Country/Territory	United States
City	Orlando
Period	12/9/14 → 12/12/14

Keywords

Constrained optimization
Differential evolution
Emergent disaster
Material supply

ASJC Scopus subject areas

Artificial Intelligence
Computational Theory and Mathematics
Computer Science Applications

Access to Document

10.1109/CIPLS.2014.7007172

Cite this

Cao, Q., & Leung, K. M. (2014). Optimization of material supply model in an emergent disaster using differential evolution. In IEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - CIPLS 2014: 2014 IEEE Symposium on Computational Intelligence in Production and Logistics Systems, Proceedings (pp. 134-140). Article 7007172 (IEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - CIPLS 2014: 2014 IEEE Symposium on Computational Intelligence in Production and Logistics Systems, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CIPLS.2014.7007172

Optimization of material supply model in an emergent disaster using differential evolution. / Cao, Qi; Leung, K. M.
IEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - CIPLS 2014: 2014 IEEE Symposium on Computational Intelligence in Production and Logistics Systems, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2014. p. 134-140 7007172 (IEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - CIPLS 2014: 2014 IEEE Symposium on Computational Intelligence in Production and Logistics Systems, Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Cao, Q & Leung, KM 2014, Optimization of material supply model in an emergent disaster using differential evolution. in IEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - CIPLS 2014: 2014 IEEE Symposium on Computational Intelligence in Production and Logistics Systems, Proceedings., 7007172, IEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - CIPLS 2014: 2014 IEEE Symposium on Computational Intelligence in Production and Logistics Systems, Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 134-140, 2014 IEEE Symposium on Computational Intelligence in Production and Logistics Systems, CIPLS 2014, Orlando, United States, 12/9/14. https://doi.org/10.1109/CIPLS.2014.7007172

Cao Q, Leung KM. Optimization of material supply model in an emergent disaster using differential evolution. In IEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - CIPLS 2014: 2014 IEEE Symposium on Computational Intelligence in Production and Logistics Systems, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2014. p. 134-140. 7007172. (IEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - CIPLS 2014: 2014 IEEE Symposium on Computational Intelligence in Production and Logistics Systems, Proceedings). doi: 10.1109/CIPLS.2014.7007172

Cao, Qi ; Leung, K. M. / Optimization of material supply model in an emergent disaster using differential evolution. IEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - CIPLS 2014: 2014 IEEE Symposium on Computational Intelligence in Production and Logistics Systems, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 134-140 (IEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - CIPLS 2014: 2014 IEEE Symposium on Computational Intelligence in Production and Logistics Systems, Proceedings).

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abstract = "At present, optimization modeling has become a powerful tool to tackle emergency logistics problems. A multi-objective material supply model in an emergent disaster is first constructed in the paper. The differential evolution (DE) algorithm with constraint handling methods, specialized for the material supply model, is then presented. Finally, a simulation experiment is performed and our results are compared with those obtained using a different method. We found that the proposed algorithm can quickly and robustly approach the best solution for both the single objective function and the multi-objective model. It is a more feasible and efficient way to handle material supply optimization in emergency logistics problems.",

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Optimization of material supply model in an emergent disaster using differential evolution

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Keywords

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