Metaheuristics for engineering and architectural design of hospitals

Malene Kirstine Holst, Poul Henning Kirkegaard

    Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

    Abstract

    This paper presents an approach for optimized hospital layout design based on metaheuristics. Through the use of metaheuristics the hospital functionalities are decomposed into geometric units. The units define the baseline for the design of the hospital, as the units are based on correlations of the functionalities within the units and across the units. For the study, presented in this paper, a model for hospital design is developed formulating the design requirements of the hospital functionalities as correlations of the health facility. The requirements of the hospital define the constraints for layout design as correlations of the functionalities as well as sizes. The main contribution of this study is an investigation of a soft computing method for optimization of the hospital layout design, where design requirements are met while the design quality in terms of design preferences is maximized for a hospital.
    OriginalsprogEngelsk
    TitelProceedings of the Ninth International Conference on Engineering Computational Technology
    RedaktørerP. Iványi, B. H. V. Topping
    Antal sider14
    UdgivelsesstedStirlingshire
    ForlagCivil-Comp Press
    Publikationsdato2014
    ArtikelnummerPaper nr. 85
    ISBN (Trykt)978-1-905088-60-7
    DOI
    StatusUdgivet - 2014
    BegivenhedThe International Conference on Engineering Computational Technology - Naples, Italien
    Varighed: 2 sep. 20145 sep. 2014
    Konferencens nummer: 9

    Konference

    KonferenceThe International Conference on Engineering Computational Technology
    Nummer9
    Land/OmrådeItalien
    ByNaples
    Periode02/09/201405/09/2014
    NavnCivil-Comp Proceedings
    Nummer105
    ISSN1759-3433

    Emneord

    • Metaheuristics
    • Soft computing
    • Optimization
    • Architectural layout design
    • Genetic algorithms

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