Please use this identifier to cite or link to this item:
Title: Genetic algorithm optimization in building portfolio management
Authors: Tong, TKL
Tam, CM
Chan, APC 
Keywords: Building portfolio management genetic algorithms asset replacement
Issue Date: 2001
Publisher: Routledge, Taylor & Francis Group
Source: Construction management and economics, 2001, v. 19, no. 6, p. 601-609 How to cite?
Journal: Construction management and economics 
Abstract: A significant proportion of building investment expenditure goes to replacement expenditure for organizations owning a large building stock or portfolio. Over the years, researchers have attempted to develop asset replacement models to aid decision-making in building portfolio management, based upon' a statistical or an heuristic approach. This study attempts to use genetic algorithms to develop models for forecasting long term asset replacement strategies, aiming at smoothing fluctuations of expenditure and resource requirements, and most importantly minimizing the total maintenance and replacement costs. Scenarios are presented to demonstrate how these can be achieved. Further refinement for practical application of the models is also presented.
ISSN: 0144-6193
EISSN: 1466-433X
DOI: 10.1080/01446190110062096
Appears in Collections:Journal/Magazine Article

View full-text via PolyU eLinks SFX Query
Show full item record


Last Week
Last month
Citations as of Aug 16, 2018

Page view(s)

Last Week
Last month
Citations as of Aug 13, 2018

Google ScholarTM



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