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    EvoSite: Evolution-Based Model for Site Layout Planning

    Source: Journal of Computing in Civil Engineering:;1999:;Volume ( 013 ):;issue: 003
    Author:
    Tarek Hegazy
    ,
    Emad Elbeltagi
    DOI: 10.1061/(ASCE)0887-3801(1999)13:3(198)
    Publisher: American Society of Civil Engineers
    Abstract: Appropriate site layout of temporary facilities is crucial for enhancing the productivity and safety on construction sites. Site layout planning, however, is a complex problem, and researchers have attempted to solve it using a variety of optimization-based and heuristic-based techniques. In this paper, a genetic-algorithm-based model for site layout planning is presented. The advantages of the model stem from three main characteristics: (1) It applies to any user-defined site shape; (2) it accounts for the user preference in the relative closeness among the facilities; and (3) it incorporates a genetic algorithm procedure to search for the optimum layout in a manner that simulates natural evolution. Based on the proposed model, a comprehensive system for site layout planning (EvoSite) is developed. EvoSite uses an intuitive spreadsheet representation of the site and the facilities, and automates the evolution of layout solutions. Details of model development and implementation are described, and an example application is presented to demonstrate the capabilities of the EvoSite system. The advantages, limitations, and future extensions of EvoSite are then discussed.
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      EvoSite: Evolution-Based Model for Site Layout Planning

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    contributor authorTarek Hegazy
    contributor authorEmad Elbeltagi
    date accessioned2017-05-08T21:12:49Z
    date available2017-05-08T21:12:49Z
    date copyrightJuly 1999
    date issued1999
    identifier other%28asce%290887-3801%281999%2913%3A3%28198%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/42989
    description abstractAppropriate site layout of temporary facilities is crucial for enhancing the productivity and safety on construction sites. Site layout planning, however, is a complex problem, and researchers have attempted to solve it using a variety of optimization-based and heuristic-based techniques. In this paper, a genetic-algorithm-based model for site layout planning is presented. The advantages of the model stem from three main characteristics: (1) It applies to any user-defined site shape; (2) it accounts for the user preference in the relative closeness among the facilities; and (3) it incorporates a genetic algorithm procedure to search for the optimum layout in a manner that simulates natural evolution. Based on the proposed model, a comprehensive system for site layout planning (EvoSite) is developed. EvoSite uses an intuitive spreadsheet representation of the site and the facilities, and automates the evolution of layout solutions. Details of model development and implementation are described, and an example application is presented to demonstrate the capabilities of the EvoSite system. The advantages, limitations, and future extensions of EvoSite are then discussed.
    publisherAmerican Society of Civil Engineers
    titleEvoSite: Evolution-Based Model for Site Layout Planning
    typeJournal Paper
    journal volume13
    journal issue3
    journal titleJournal of Computing in Civil Engineering
    identifier doi10.1061/(ASCE)0887-3801(1999)13:3(198)
    treeJournal of Computing in Civil Engineering:;1999:;Volume ( 013 ):;issue: 003
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian