Application of genetic programming algorithm in flow control

Jiyuan Sun

doi:10.1117/12.2685339

19 October 2023 Application of genetic programming algorithm in flow control

Jiyuan Sun

Proceedings Volume 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023); 127092Y (2023) https://doi.org/10.1117/12.2685339
Event: Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 2023, Nanjing, China

Abstract

As a major discipline in the field of fluid mechanics, flow control is commonly used in academic research and engineering applications. However, because the flow problem is more complex as a nonlinear problem, it has been very difficult to carry out closed-loop control in its research process. Machine learning has developed rapidly in recent years, where genetic programming provides an optimization method for solving flow control problems. This paper reviews the successful cases of combining genetic planning with flow control in the experimental field by showing the application methods of genetic planning and flow control, and analyzes the advantages and disadvantages of genetic planning in flow control applications. The article describes the overall overview of the application of genetic programming in flow control, but because the application of genetic programming in flow control is still in its infancy, through this paper we also hope to promote the application of genetic programming in the field of flow control engineering.

Citation Download Citation

Jiyuan Sun "Application of genetic programming algorithm in flow control", Proc. SPIE 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 127092Y (19 October 2023); https://doi.org/10.1117/12.2685339

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