A hybrid CAD-based construction site layout planning system using genetic algorithms

Osman, H, Georgy, M and Ibrahim, M 2003, 'A hybrid CAD-based construction site layout planning system using genetic algorithms', International Journal of Automation in Construction, vol. 12, no. 6, pp. 749-764.

Document type: Journal Article
Collection: Journal Articles

Title A hybrid CAD-based construction site layout planning system using genetic algorithms
Author(s) Osman, H
Georgy, M
Ibrahim, M
Year 2003
Journal name International Journal of Automation in Construction
Volume number 12
Issue number 6
Start page 749
End page 764
Total pages 16
Publisher Elsevier
Abstract The efficient layout planning of a construction site is a fundamental task to any project undertaking. In an attempt to enhance the general practice of layout planning of construction sites, the paper introduces a novel approach for producing the sought layouts. This approach integrates the highly sophisticated graphical capabilities of computer-aided design (CAD) platforms with the robust search and optimization capabilities of genetic algorithms (GAs). In this context, GAs are utilized from within the CAD environment to optimize the location of temporary facilities on site. The functional interaction between GAs and CAD and the details of the GA-based layout optimization procedure are presented. A fully automated computer system is further developed to demonstrate the practicality of the chosen approach. In order to evaluate the system’s performance, a local construction project with a 24,000m 2 site is used. The automated system produced highly satisfactory results and showed notable flexibility through its CAD-based input/output media.
Subject Construction Engineering
Building Construction Management and Project Planning
Neural, Evolutionary and Fuzzy Computation
Keyword(s) Site layout planning
Computer-aided design (CAD)
Genetic algorithms
DOI - identifier 10.1016/S0926-5805(03)00058-X
Copyright notice © 2003 Elsevier B.V. All rights reserved.
ISSN 0926-5805
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 68 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 84 times in Scopus Article | Citations
Altmetric details:
Access Statistics: 251 Abstract Views  -  Detailed Statistics
Created: Mon, 10 Dec 2012, 08:32:00 EST by Catalyst Administrator
© 2014 RMIT Research Repository • Powered by Fez SoftwareContact us