A particle swarm optimization algorithm for optimal operating parameters of VMI systems in a two-echelon supply chain

Sue-Ann Goh, SG Ponnambalam

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    2 Citations (Scopus)
    Original languageEnglish
    Title of host publicationProceedings of the First International Conference on Swarm, Evolutionary, and Memetic Computing (SEMCCO 2010)
    EditorsBijaya Ketan Panigrahi, Swagatam Das, Ponnuthurai Nagaratnam Suganthan, Subhransu Sekhar Dash
    Place of PublicationGermany
    PublisherSpringer-Verlag London Ltd.
    Pages440 - 447
    Number of pages8
    ISBN (Print)9783642175626
    Publication statusPublished - 2010
    EventInternational Conference on Swarm, Evolutionary, and Memetic Computing (SEMCCO) 2010 - SRM University, Chennai, India
    Duration: 16 Dec 201018 Dec 2010
    Conference number: 1st
    https://link.springer.com/book/10.1007/978-3-642-17563-3 (conference proceedings)

    Conference

    ConferenceInternational Conference on Swarm, Evolutionary, and Memetic Computing (SEMCCO) 2010
    Abbreviated titleSEMCCO
    CountryIndia
    CityChennai
    Period16/12/1018/12/10
    OtherSEMCCO: International Conference on Swarm, Evolutionary, and Memetic Computing
    Swarm, Evolutionary, and Memetic Computing
    First International Conference on Swarm, Evolutionary, and Memetic Computing, SEMCCO 2010, Chennai, India, December 16-18, 2010. Proceedings
    Internet address

    Cite this

    Goh, S-A., & Ponnambalam, SG. (2010). A particle swarm optimization algorithm for optimal operating parameters of VMI systems in a two-echelon supply chain. In B. K. Panigrahi, S. Das, P. N. Suganthan, & S. S. Dash (Eds.), Proceedings of the First International Conference on Swarm, Evolutionary, and Memetic Computing (SEMCCO 2010) (pp. 440 - 447). Springer-Verlag London Ltd..