Genetic algorithm optimization in building portfolio management

T. K L Tong, C. M. Tam, Ping Chuen Chan

Research output: Journal article publicationJournal articleAcademic researchpeer-review

22 Citations (Scopus)

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 resources 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.
Original languageEnglish
Pages (from-to)601-609
Number of pages9
JournalConstruction Management and Economics
Volume19
Issue number6
DOIs
Publication statusPublished - 1 Oct 2001
Externally publishedYes

Keywords

  • Asset replacement
  • Building portfolio management
  • Genetic algorithms

ASJC Scopus subject areas

  • Building and Construction
  • Management Information Systems
  • Industrial and Manufacturing Engineering

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