文章基本信息

标题：Development of Hybrid Model for Estimating Construction Waste for Multifamily Residential Buildings Using Artificial Neural Networks and Ant Colony Optimization
本地全文：下载
作者：Lee, Dongoun ; Kim, Seungho ; Kim, Sangyong 等
期刊名称：Sustainability
印刷版ISSN：2071-1050
出版年度：2016
卷号：8
期号：9
出版社：MDPI, Open Access Journal
摘要：Due to the increasing costs of construction waste disposal, an accurate estimation of the amount of construction waste is a key factor in a project’s success. Korea has been burdened by increasing construction waste as a consequence of the growing number of construction projects and a lack of construction waste management (CWM) strategies. One of the problems associated with predicting the amount of waste is that there are no suitable estimation strategies currently available. Therefore, we developed a hybrid estimation model to predict the quantity and cost of waste in the early stage of construction. The proposed approach can be used to address cost overruns and improve CWM in the subsequent stages of construction. The proposed hybrid model uses artificial neural networks (ANNs) and ant colony optimization (ACO). It is expected to provide an accurate waste estimate by applying historical data from multifamily residential buildings.
关键词：ant colony optimization; artificial neural network; construction waste; multifamily house; multifamily building