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    Genetic Algorithm for Optimizing Supply Locations around Tower Crane

    Source: Journal of Construction Engineering and Management:;2001:;Volume ( 127 ):;issue: 004
    Author:
    C. M. Tam
    ,
    Thomas K. L. Tong
    ,
    Wilson K. W. Chan
    DOI: 10.1061/(ASCE)0733-9364(2001)127:4(315)
    Publisher: American Society of Civil Engineers
    Abstract: Site layout planning is a complicated issue because of the vast number of trades and interrelated planning constraints. To unfold its complexity, this paper aims to confine the study to a particularly defined area of construction: the structural concrete-frame construction stage of public housing projects. In this study, optimization of the tower crane and supply locations is targeted, as they are the major site facilities for high-rise building construction. A site layout genetic algorithm model is developed and a practical example is presented. The optimization results of the example are very promising and demonstrate the application value of the model.
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      Genetic Algorithm for Optimizing Supply Locations around Tower Crane

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    http://yetl.yabesh.ir/yetl1/handle/yetl/19376
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    contributor authorC. M. Tam
    contributor authorThomas K. L. Tong
    contributor authorWilson K. W. Chan
    date accessioned2017-05-08T20:33:14Z
    date available2017-05-08T20:33:14Z
    date copyrightAugust 2001
    date issued2001
    identifier other%28asce%290733-9364%282001%29127%3A4%28315%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/19376
    description abstractSite layout planning is a complicated issue because of the vast number of trades and interrelated planning constraints. To unfold its complexity, this paper aims to confine the study to a particularly defined area of construction: the structural concrete-frame construction stage of public housing projects. In this study, optimization of the tower crane and supply locations is targeted, as they are the major site facilities for high-rise building construction. A site layout genetic algorithm model is developed and a practical example is presented. The optimization results of the example are very promising and demonstrate the application value of the model.
    publisherAmerican Society of Civil Engineers
    titleGenetic Algorithm for Optimizing Supply Locations around Tower Crane
    typeJournal Paper
    journal volume127
    journal issue4
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/(ASCE)0733-9364(2001)127:4(315)
    treeJournal of Construction Engineering and Management:;2001:;Volume ( 127 ):;issue: 004
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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