MULTI-CRITERIA OPTIMIZATION OF CONSTRUCTION MACHINERY SELECTION USING A HYBRID AHP-GA MODEL
This paper presents a hybrid model integrating the Analytic Hierarchy Process (AHP) and Genetic Algorithms (GA) to optimize construction machinery selection based on cost, CO2 emissions, maintenance, and age. AHP was used to determine precise weighting criteria, while a Python-based GA explored the solution space using technical penalty functions. ...
By Željko Marinković, Nikola Knezevic, Predrag Petronijević, Nataša Praščević
PRELIMINARY QUANTITY ESTIMATION IN CONSTRUCTION USING MACHINE LEARNING METHODS
This paper analyses the problem of estimating the required quantities of major work items in the construction of residential and residential-commercial buildings using machine learning algorithms. The goal is to form a model that will provide a fast and sufficiently accurate estimate of the quantities of major work items, based on a small amount of...
By Nevena Simić, Predrag Petronijević, Aleksandar Devedžić, Marija Ivanović