Metaheuristics for project and construction management - A state-of-the-art review

T. Warren Liao, P. J. Egbelu, B. R. Sarker, S. S. Leu

Research output: Contribution to journalReview articlepeer-review

96 Scopus citations


This paper carries out a detailed review of previous studies that employed metaheuristics to address problems/issues encountered in the life time of a construction or engineering project. The review is organized around critical problems/issues including engineering, cost estimation, planning, scheduling, and monitoring and control of project operations, with the objectives to optimize cost and time through the efficient uses of constrained or unconstrained resources. Metaheuristics are emphasized because they are especially suitable when approximate solutions are good enough in the case that the global optimum is either unknown or computationally too expensive to obtain it; both are characteristics of a typical large scale project. Based on the review, we offer our view of this research area and their potential for practical use. An attempt is also made to identify project management related topics where further advancement needs to be made.

Original languageEnglish (US)
Pages (from-to)491-505
Number of pages15
JournalAutomation in Construction
Issue number5
StatePublished - Aug 2011
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Building and Construction
  • Civil and Structural Engineering


  • Ant colony optimization
  • Construction management
  • Evolutionary algorithm
  • Genetic algorithm
  • Metaheuristic
  • Optimization
  • Particle swarm optimization
  • Project management


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