Title of article
Metaheuristics for project and construction management – A state-of-the-art review
Author/Authors
Liao، نويسنده , , T. Warren and Egbelu، نويسنده , , P.J. and Sarker، نويسنده , , B.R. and Leu، نويسنده , , S.S.، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2011
Pages
15
From page
491
To page
505
Abstract
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.
Keywords
Ant Colony Optimization , genetic algorithm , particle swarm optimization , Evolutionary algorithm , Metaheuristic , Project Management , construction management , optimization
Journal title
Automation in Construction
Serial Year
2011
Journal title
Automation in Construction
Record number
1338317
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