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    Hybrid Particle Swarm Optimization and K-Means Analysis for Bridge Clustering Based on National Bridge Inventory Data

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2017:;Volume ( 003 ):;issue: 002
    Author:
    Silvia Galvan-Nunez
    ,
    Nii Attoh-Okine
    DOI: 10.1061/AJRUA6.0000864
    Publisher: American Society of Civil Engineers
    Abstract: Because of budget constraints for maintaining highway bridges in the United States, it is necessary to accurately monitor bridge structures so that repair and rehabilitation strategies can be performed. In this paper, an optimization approach based on the hybrid of the metaheuristic particle swarm optimization and the
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      Hybrid Particle Swarm Optimization and K-Means Analysis for Bridge Clustering Based on National Bridge Inventory Data

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    http://yetl.yabesh.ir/yetl1/handle/yetl/82376
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    • ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering

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    contributor authorSilvia Galvan-Nunez
    contributor authorNii Attoh-Okine
    date accessioned2017-05-08T22:32:47Z
    date available2017-05-08T22:32:47Z
    date copyrightJune 2017
    date issued2017
    identifier other49095927.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/82376
    description abstractBecause of budget constraints for maintaining highway bridges in the United States, it is necessary to accurately monitor bridge structures so that repair and rehabilitation strategies can be performed. In this paper, an optimization approach based on the hybrid of the metaheuristic particle swarm optimization and the
    publisherAmerican Society of Civil Engineers
    titleHybrid Particle Swarm Optimization and K-Means Analysis for Bridge Clustering Based on National Bridge Inventory Data
    typeJournal Paper
    journal volume3
    journal issue2
    journal titleASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
    identifier doi10.1061/AJRUA6.0000864
    treeASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2017:;Volume ( 003 ):;issue: 002
    contenttypeFulltext
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