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    Shuffled Complex Evolution Algorithms in Infrastructure Works Programming

    Source: Journal of Computing in Civil Engineering:;2004:;Volume ( 018 ):;issue: 003
    Author:
    Charles Nunoo
    ,
    Donath Mrawira
    DOI: 10.1061/(ASCE)0887-3801(2004)18:3(257)
    Publisher: American Society of Civil Engineers
    Abstract: Practical optimization of infrastructure preservation works programming has always posed a computational challenge due to the complexity and scale of the problem. Critical to the process is formulations in which the identity of individual projects is preserved. This requirement leads to exponential growth of solution space, often resulting in an unmanageable process using traditional analytical optimization techniques. In this paper, we propose an evolutionary-based multiyear optimization procedure for solving network level infrastructure works programming problems using a relatively new concept known as the shuffled complex evolution algorithm. A case study problem is analyzed to illustrate the robustness of the technique. The findings show convergence characteristics of the solution and demonstrate that the algorithm is very efficient and consistent in simultaneous consideration of the trade-off among various infrastructure preservation strategies. It is concluded that the robust search capability of the shuffled complex evolution technique is well suited for solving the combinatorial problems in network level infrastructure preservation works programming.
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      Shuffled Complex Evolution Algorithms in Infrastructure Works Programming

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    http://yetl.yabesh.ir/yetl1/handle/yetl/43181
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    contributor authorCharles Nunoo
    contributor authorDonath Mrawira
    date accessioned2017-05-08T21:13:06Z
    date available2017-05-08T21:13:06Z
    date copyrightJuly 2004
    date issued2004
    identifier other%28asce%290887-3801%282004%2918%3A3%28257%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/43181
    description abstractPractical optimization of infrastructure preservation works programming has always posed a computational challenge due to the complexity and scale of the problem. Critical to the process is formulations in which the identity of individual projects is preserved. This requirement leads to exponential growth of solution space, often resulting in an unmanageable process using traditional analytical optimization techniques. In this paper, we propose an evolutionary-based multiyear optimization procedure for solving network level infrastructure works programming problems using a relatively new concept known as the shuffled complex evolution algorithm. A case study problem is analyzed to illustrate the robustness of the technique. The findings show convergence characteristics of the solution and demonstrate that the algorithm is very efficient and consistent in simultaneous consideration of the trade-off among various infrastructure preservation strategies. It is concluded that the robust search capability of the shuffled complex evolution technique is well suited for solving the combinatorial problems in network level infrastructure preservation works programming.
    publisherAmerican Society of Civil Engineers
    titleShuffled Complex Evolution Algorithms in Infrastructure Works Programming
    typeJournal Paper
    journal volume18
    journal issue3
    journal titleJournal of Computing in Civil Engineering
    identifier doi10.1061/(ASCE)0887-3801(2004)18:3(257)
    treeJournal of Computing in Civil Engineering:;2004:;Volume ( 018 ):;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