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    New Hybrid Models Integrating the Firefly Optimization Algorithm with the Artificial Neural Networks and Adaptive Neuro-Fuzzy Inference Systems to Improve Estimation at Completion

    Source: Journal of Construction Engineering and Management:;2025:;Volume ( 151 ):;issue: 011::page 04025160-1
    Author:
    Mhady, Ahmed Abo
    ,
    Gurgun, Asli Pelin
    ,
    Budayan, Cenk
    ,
    Koc, Kerim
    DOI: 10.1061/JCEMD4.COENG-16487
    Publisher: American Society of Civil Engineers
    Abstract: AbstractIn the construction industry, project performance often faces challenges due to the unpredictable nature of operational environments, causing construction projects to frequently exceed their estimated initial budget. Construction companies must ...
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      New Hybrid Models Integrating the Firefly Optimization Algorithm with the Artificial Neural Networks and Adaptive Neuro-Fuzzy Inference Systems to Improve Estimation at Completion

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4314705
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    • Journal of Construction Engineering and Management

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    contributor authorMhady, Ahmed Abo
    contributor authorGurgun, Asli Pelin
    contributor authorBudayan, Cenk
    contributor authorKoc, Kerim
    date accessioned2026-08-20T21:35:40Z
    date available2026-08-20T21:35:40Z
    date copyright2025/08/18
    date issued2025
    identifier otherJCEMD4.COENG-16487.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314705
    description abstractAbstractIn the construction industry, project performance often faces challenges due to the unpredictable nature of operational environments, causing construction projects to frequently exceed their estimated initial budget. Construction companies must ...
    publisherAmerican Society of Civil Engineers
    titleNew Hybrid Models Integrating the Firefly Optimization Algorithm with the Artificial Neural Networks and Adaptive Neuro-Fuzzy Inference Systems to Improve Estimation at Completion
    typeJournal Article
    journal volume151
    journal issue11
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/JCEMD4.COENG-16487
    journal fristpage04025160-1
    journal lastpage04025160-19
    page19
    treeJournal of Construction Engineering and Management:;2025:;Volume ( 151 ):;issue: 011
    contenttypeFulltext
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