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    Wind turbine layout optimization using multi-population genetic algorithm and a case study in Hong Kong offshore

    New search for: Gao, Xiaoxia
    New search for: Yang, Hongxing
    New search for: Lin, Lu
    New search for: Koo, Prentice

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    Wind turbine layout optimization using multi-population genetic algorithm and a case study in Hong Kong offshore

    New search for: Gao, Xiaoxia
    New search for: Yang, Hongxing
    New search for: Lin, Lu
    New search for: Koo, Prentice

    Access

    Access via TIB
    Check availability in my library
    Order at Subito €

    Wind turbine layout optimization using multi-population genetic algorithm and a case study in Hong Kong offshore

    New search for: Gao, Xiaoxia
    New search for: Yang, Hongxing
    New search for: Lin, Lu
    New search for: Koo, Prentice

    Access

    Access via TIB
    Check availability in my library
    Order at Subito €

    Access

    Access via TIB
    Check availability in my library
    Order at Subito €

    Page navigation

    Document information
    Similar titles

    Export, share and cite

    Document information
    Title:

    Wind turbine layout optimization using multi-population genetic algorithm and a case study in Hong Kong offshore

    Contributors:

    Gao, Xiaoxia (author) / Yang, Hongxing / Lin, Lu / Koo, Prentice

    Published in:

    Journal of wind engineering and industrial aerodynamics ; 139

    Publication date:

    2015

    ISSN:

    0167-6105

    DOI:

    https://doi.org/10.1016/j.jweia.2015.01.018

    Type of media:

    Article (Journal)

    Type of material:

    Print

    Language:

    English

    Keywords:

    Zeitschrift , Aerodynamik , Windenergie

    Classification:

    BKL:  52.56 Regenerative Energieformen, alternative Energieformen / 56.11 Baukonstruktion

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