Construction and Demolition Waste Generation Prediction by Using Artificial Neural Networks and Metaheuristic Algorithms

Construction and Demolition Waste Generation Prediction by Using Artificial Neural Networks and Metaheuristic Algorithms

In the actual estimation of construction and demolition waste (C&DW), it is significantly relevant to effective management, design, and planning at project stages, but the lack of reliable estimation methods and historical data prevents the estimation of C&DW quantities for both short- and l...

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Bibliographic Details
Main Authors: Ruba Awad, Cenk Budayan, Asli Pelin Gurgun
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Buildings
Subjects:
construction and demolition projects
waste estimation
GWO (gray wolf optimization)
AOA (Archimedes optimization algorithm)
ANN (artificial neural network)
Gaza-Palestine
Online Access:https://www.mdpi.com/2075-5309/14/11/3695
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