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

被引:73
|
作者
Liao, T. Warren [1 ]
Egbelu, P. J. [1 ]
Sarker, B. R. [1 ]
Leu, S. S. [2 ]
机构
[1] Louisiana State Univ, Dept Construct Management & Ind Engn, Baton Rouge, LA 70803 USA
[2] Natl Taiwan Univ Sci & Technol, Dept Construct Engn, Taipei, Taiwan
关键词
Project management; Construction management; Optimization; Metaheuristic; Ant colony optimization; Evolutionary algorithm; Genetic algorithm; Particle swarm optimization; ANT COLONY OPTIMIZATION; COST TRADE-OFF; PARTICLE SWARM OPTIMIZATION; MULTIOBJECTIVE GENETIC ALGORITHM; RESOURCE-ALLOCATION; SITE LAYOUT; EVOLUTIONARY ALGORITHM; TABU SEARCH; TIME; GA;
D O I
10.1016/j.autcon.2010.12.006
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
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. (C) 2010 Elsevier B.V. All rights reserved.
引用
收藏
页码:491 / 505
页数:15
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