Interval Estimation of Construction Cost Using Case-Based Reasoning and Genetic Algorithms

Title
Interval Estimation of Construction Cost Using Case-Based Reasoning and Genetic Algorithms
Author(s)
김상용
Keywords
ARTIFICIAL NEURAL-NETWORKS; ANALYTIC HIERARCHY PROCESS; FLOW MANAGEMENT; S-CURVES; MODEL; WEIGHTS; SYSTEM
Issue Date
201211
Publisher
ARCHITECTURAL INST JAPAN
Citation
JOURNAL OF ASIAN ARCHITECTURE AND BUILDING ENGINEERING, v.11, no.2, pp.327 - 334
Abstract
During a construction project, the cost of progress is the most important factor affecting the profitability of the project. It would be beneficial to the contractor to have prior knowledge concerning the cost of progress of a project. This study uses case-based reasoning(CBR) to predict the cost of progress in order to develop appropriate strategies. This study also investigates genetic algorithms (GAs) for weight generation and applies them to a real project case. To achieve the objective, quantitative data have been collected from real completed construction projects. The proposed prediction system, namely EVAS-CBR-GAs, was then performed on the identified influential variables. The results show that the presented methodology can consistently reduce errors and potentially be useful for owners and contractors in the early financial planning stage. Recognizing this need, the author has developed a comprehensive system for planning and controlling the cost of contractor progress.
URI
http://hdl.handle.net/YU.REPOSITORY/26977
ISSN
1346-7581
Appears in Collections:
건축학부 > 건축학부 > Articles
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