Paper
1 June 2023 Research on the application of genetic algorithm in the optimal design of building structure
Fengxing Li
Author Affiliations +
Proceedings Volume 12625, International Conference on Mathematics, Modeling, and Computer Science (MMCS2022); 126253B (2023) https://doi.org/10.1117/12.2671726
Event: International Conference on Mathematics, Modeling and Computer Science (MMCS2022),, 2022, Wuhan, China
Abstract
As the main content of the current research and discussion in the field of computer science, genetic algorithm has been applied more and more deeply in the field of architecture. Scholars from various countries have mastered a large number of application cases and theoretical knowledge. In the development of social economy and technology, the optimization design level of urban building structure is higher and higher. Optimization innovation based on genetic algorithm can effectively improve the speed of calculation and convergence performance. Therefore, on the basis of understanding the research status of genetic algorithm structure optimization design, this paper puts forward a structure optimization program with adaptive genetic algorithm as the core. The final experimental results show that this design can further improve the performance of the optimal design of the building structure, and meet the requirements of technical innovation in the field of modern architecture.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fengxing Li "Research on the application of genetic algorithm in the optimal design of building structure", Proc. SPIE 12625, International Conference on Mathematics, Modeling, and Computer Science (MMCS2022), 126253B (1 June 2023); https://doi.org/10.1117/12.2671726
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KEYWORDS
Design and modelling

Genetic algorithms

Mathematical optimization

Engineering

Binary data

Structural design

Chemical elements

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