A hybrid mechanism for optimizing construction simulation models

Tao Ming Cheng, Chung Wei Feng, Yan Liang Chen

研究成果: Article同行評審

27 引文 斯高帕斯(Scopus)


Simulation is a powerful tool for planning and scheduling highly repetitive tasks in a construction project. However, sensitivity analysis has to be utilized to find the best resource combination to execute the construction tasks. By performing the sensitivity analysis, various resource combinations can be evaluated in terms of their effects on the operation's production and cost. The results of the sensitivity analysis can assist project managers in planning effective resource assignments based on their goals, such as maximizing the system's production rate or minimizing the system's unit cost. However, it is time-consuming to conduct the sensitivity analysis if there are a large number of resource alternatives available. This paper proposes a hybrid mechanism that integrates heuristic algorithms and genetic algorithms to efficiently locate the best resource combination for the construction simulation optimization. Results show that this new hybrid mechanism not only locates the optimal solution but also reduces tremendous computational efforts.

頁(從 - 到)85-98
期刊Automation in construction
出版狀態Published - 2005 1月

All Science Journal Classification (ASJC) codes

  • 控制與系統工程
  • 土木與結構工程
  • 建築與營造


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