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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

dc.contributor.authorMhady, Ahmed Abo
dc.contributor.authorGurgun, Asli Pelin
dc.contributor.authorBudayan, Cenk
dc.contributor.authorKoc, Kerim
dc.date.accessioned2026-08-20T21:35:40Z
dc.date.available2026-08-20T21:35:40Z
dc.date.copyright2025/08/18
dc.date.issued2025
dc.identifier.otherJCEMD4.COENG-16487.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314705
dc.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 ...
dc.publisherAmerican Society of Civil Engineers
dc.titleNew Hybrid Models Integrating the Firefly Optimization Algorithm with the Artificial Neural Networks and Adaptive Neuro-Fuzzy Inference Systems to Improve Estimation at Completion
dc.typeJournal Article
dc.journal.volume151
dc.journal.issue11
dc.journal.titleJournal of Construction Engineering and Management
dc.identifier.doi10.1061/JCEMD4.COENG-16487
dc.journal.fristpage04025160-1
dc.journal.lastpage04025160-19
dc.page19
dc.treeJournal of Construction Engineering and Management:;2025:;Volume ( 151 ):;issue: 011
dc.contenttypeFulltext


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