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A Review of Optimization Algorithms Applied to Prefabricated Building Construction

In: Proceedings of the 26th International Symposium on Advancement of Construction Management and Real Estate

Author

Listed:
  • Xiao Gao

    (Shenzhen University)

  • Jiayuan Wang

    (Shenzhen University)

Abstract

Prefabricated buildings have the characteristics of high work efficiency, high economic benefits, good safety, low resource consumption, energy saving and environmental protection, and their development has brought great progress to the construction of industrial buildings in my country. However, during the construction process, there are some problems, such as the chaotic production process and the time-consuming transportation process, which need to be better solved. Facing these problems, many scholars have adopted a variety of optimization algorithms to solve them. The purpose of this research is to analyze the application of the current optimization algorithm in the prefabricated building construction stage and summarize its application defects. Based on a detailed analysis of the existing literature, this paper comprehensively reviews the application of optimization algorithms in the production of prefabricated components, the transportation of prefabricated components, and the on-site installation of prefabricated components. On the basis of analysis and review, this article summarizes the inaccurate calculation results of the optimization algorithm in the field of prefabricated building construction, and the calculation time is too long, and provides relevant suggestions for future potential research.

Suggested Citation

  • Xiao Gao & Jiayuan Wang, 2022. "A Review of Optimization Algorithms Applied to Prefabricated Building Construction," Lecture Notes in Operations Research, in: Hongling Guo & Dongping Fang & Weisheng Lu & Yi Peng (ed.), Proceedings of the 26th International Symposium on Advancement of Construction Management and Real Estate, pages 1102-1113, Springer.
    • Handle: RePEc:spr:lnopch:978-981-19-5256-2_86
    DOI: 10.1007/978-981-19-5256-2_86
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