Combining case-based reasoning with genetic algorithm optimization for preliminary cost estimation in construction industry

Title
Combining case-based reasoning with genetic algorithm optimization for preliminary cost estimation in construction industry
Author(s)
김상용심재헌[심재헌]
Keywords
ANALYTIC HIERARCHY PROCESS; MULTIFAMILY HOUSING PROJECTS; NEURAL-NETWORKS; SYSTEM; MODEL; CBR; PREDICTION; REGRESSION; DESIGN
Issue Date
201401
Publisher
CANADIAN SCIENCE PUBLISHING, NRC RESEARCH PRESS
Citation
CANADIAN JOURNAL OF CIVIL ENGINEERING, v.41, no.1, pp.65 - 73
Abstract
In this paper, we propose a hybrid case-based reasoning (CBR) system for predicting the construction cost of high-rise buildings at the preliminary design stage. First, the extracted cost factors (CFs) of a high-rise building were shown to significantly improve the cost estimation system's performance. For developing a CBR system, a hybrid approach that combines CBR with genetic algorithms (GAs) for cost estimation was adopted. Genetic algorithms were used for optimized weight generation and applied to real project cases. Additionally, this paper proposes the identification of an alternative similarity score measurement formula. The proposed formula evaluates the contrast between the alternative case matching approach and the classical formula in a scenario involving the use of cost factors describing a case. The results indicate that the proposed GA-based CBR system can consistently reduce errors and potentially be useful to owners and contractors in the early financial planning stage. Accordingly, it is expected that the developed CBR system would provide decision-makers with accurate cost information to assess and compare multiple alternatives for obtaining the optimal solution and controlling the cost.
URI
http://hdl.handle.net/YU.REPOSITORY/33568http://dx.doi.org/10.1139/cjce-2013-0223
ISSN
0315-1468
Appears in Collections:
건축학부 > 건축학부 > Articles
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE