Source Journal of Chinese Scientific and Technical Papers
Included as T2 Level in the High-Quality Science and Technology Journals in the Field of Architectural Science
Core Journal of RCCSE
Included in the CAS Content Collection
Included in the JST China
Indexed in World Journal Clout Index (WJCI) Report
Duan Yonghui, Xiao Zhaoran, Zhang Zhao. RESEARCH AND COMPARATION OF MECHANICAL BEHAVIORS OF COMPOSITE FOUNDATION WITH RIGID PILES AND THE ONE WITH FLEXIBLE PILES BY 3-D FEM[J]. INDUSTRIAL CONSTRUCTION, 2006, 36(2): 54-56. doi: 10.13204/j.gyjz200602016
Citation: ZHAI Yingni, WANG Yi, GENG Dan, MENG Xiaojing. RESEARCH ON THE MULTI-FACTOR AND MULTI-OBJECTIVE OPTIMIZATION METHOD FOR THE DESIGN PARAMETERS OF TRANSPARENT ENVELOPE OF MACHINE WORKSHOP[J]. INDUSTRIAL CONSTRUCTION, 2020, 50(7): 56-61,67. doi: 10.13204/j.gyjzG19112510

RESEARCH ON THE MULTI-FACTOR AND MULTI-OBJECTIVE OPTIMIZATION METHOD FOR THE DESIGN PARAMETERS OF TRANSPARENT ENVELOPE OF MACHINE WORKSHOP

doi: 10.13204/j.gyjzG19112510
  • Received Date: 2020-02-24
  • Publish Date: 2020-10-17
  • There are many parameters in the design process of the transparent envelope of machine workshop, and the influences of these parameters on the indoor light environment, thermal environment and energy consumption are often contradictory and mutually restricted. Therefore, the design optimization of the transparent envelope parameters of machine workshop is a typical multi-factor and multi-objective optimization problem. The common single factor and single objective optimization method are mostly ineffective for considering one objective while neglecting another. The multi-objective genetic algorithm was used to optimize the design parameters of the transparent envelope. Through the interaction between Matlab and EnergyPlus, the Pareto-optimal schemes of design parameters of transparent envelope were obtained. The value distribution characteristics of the design parameters were analyzed in the Pareto optimal scheme set, and the performance of single objective optimal scheme and multi-objective Pareto optimal scheme were compared. The results showed that the significance and necessity of multi-objective optimization for the design optimization of the transparent envelop parameters. The proposed multi-objective optimization decision method with multi factors can be helpful for architectural designers in the design stage of the industrial building.
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