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    Prediction of Rapid Chloride Penetration Resistance of Metakaolin-Based High Strength Concrete: Critical Comparison between Natural and Evolutionary Algorithm–Optimized Artificial Neural Networks

    Source: Journal of Structural Design and Construction Practice:;2025:;Volume ( 030 ):;issue: 004::page 04025090-1
    Author:
    Khatti, Jitendra
    ,
    Mashaly, Asmaa A.
    DOI: 10.1061/JSDCCC.SCENG-1843
    Publisher: American Society of Civil Engineers
    Abstract: AbstractThis research presents a significant hybrid artificial neural network (ANN) model by comparing the performance of six optimization techniques: artificial bee colony (ABC), genetic algorithm (GA), grey wolf optimizer, Harris hawks optimization (HHO)...
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      Prediction of Rapid Chloride Penetration Resistance of Metakaolin-Based High Strength Concrete: Critical Comparison between Natural and Evolutionary Algorithm–Optimized Artificial Neural Networks

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4313197
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    contributor authorKhatti, Jitendra
    contributor authorMashaly, Asmaa A.
    date accessioned2026-08-20T12:11:03Z
    date available2026-08-20T12:11:03Z
    date copyright2025/07/16
    date issued2025
    identifier otherJSDCCC.SCENG-1843.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313197
    description abstractAbstractThis research presents a significant hybrid artificial neural network (ANN) model by comparing the performance of six optimization techniques: artificial bee colony (ABC), genetic algorithm (GA), grey wolf optimizer, Harris hawks optimization (HHO)...
    publisherAmerican Society of Civil Engineers
    titlePrediction of Rapid Chloride Penetration Resistance of Metakaolin-Based High Strength Concrete: Critical Comparison between Natural and Evolutionary Algorithm–Optimized Artificial Neural Networks
    typeJournal Article
    journal volume30
    journal issue4
    journal titleJournal of Structural Design and Construction Practice
    identifier doi10.1061/JSDCCC.SCENG-1843
    journal fristpage04025090-1
    journal lastpage04025090-18
    page18
    treeJournal of Structural Design and Construction Practice:;2025:;Volume ( 030 ):;issue: 004
    contenttypeFulltext
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