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

Qi Cao, K. M. Leung

    Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish (US)
    Title of host publicationIEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - CIPLS 2014: 2014 IEEE Symposium on Computational Intelligence in Production and Logistics Systems, Proceedings
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages134-140
    Number of pages7
    ISBN (Print)9781479945016
    DOIs
    StatePublished - Jan 12 2015
    Event2014 IEEE Symposium on Computational Intelligence in Production and Logistics Systems, CIPLS 2014 - Orlando, United States
    Duration: Dec 9 2014Dec 12 2014

    Other

    Other2014 IEEE Symposium on Computational Intelligence in Production and Logistics Systems, CIPLS 2014
    CountryUnited States
    CityOrlando
    Period12/9/1412/12/14

    Fingerprint

    Disasters
    Logistics
    Experiments

    Keywords

    • Constrained optimization
    • Differential evolution
    • Emergent disaster
    • Material supply

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Computational Theory and Mathematics
    • Computer Science Applications

    Cite this

    Cao, Q., & Leung, K. M. (2015). 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). [7007172] 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., 2015. p. 134-140 7007172.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Cao, Q & Leung, KM 2015, 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, 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. 2015. p. 134-140. 7007172 https://doi.org/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., 2015. pp. 134-140
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