Research on Multi-Objective Optimisation System of Aircraft Aerodynamic Layout Based on Genetic Algorithm

In this paper, a multi-objective optimization system for aircraft aerodynamic layout based on genetic algorithm is designed and implemented, which proposes the integration of parametric modeling and CFD computation, gradient-assisted evolution strategy and multi-level agent model evaluation mechanism, and constructs a complete optimization process. The test validation shows that the system significantly improves the optimisation efficiency and aerodynamic performance, successfully generates the optimal design scheme under multi-objective trade-off, and provides an efficient and practical solution for the optimisation of aircraft aerodynamic layout.

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Publication Details

Published
2025-06-20
DOI
https://doi.org/10.1109/caibda65784.2025.11182924
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
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article

Research on Multi-Objective Optimisation System of Aircraft Aerodynamic Layout Based on Genetic Algorithm

Xiang Guo, Xiaofeng Liu, Xinzhe Xie, Jun Shi
Advanced Manufacturing and Logistics Optimization
article

Research on Multi-Objective Optimisation System of Aircraft Aerodynamic Layout Based on Genetic Algorithm

Xiang Guo, Xiaofeng Liu, Xinzhe Xie, Jun Shi
article en

Abstract

In this paper, a multi-objective optimization system for aircraft aerodynamic layout based on genetic algorithm is designed and implemented, which proposes the integration of parametric modeling and CFD computation, gradient-assisted evolution strategy and multi-level agent model evaluation mechanism, and constructs a complete optimization process. The test validation shows that the system significantly improves the optimisation efficiency and aerodynamic performance, successfully generates the optimal design scheme under multi-objective trade-off, and provides an efficient and practical solution for the optimisation of aircraft aerodynamic layout.

Taiyuan University of Science and Technology (CN), Taiyuan University of Technology (CN)
Openalex Percentile: Top 60%
Advanced Manufacturing and Logistics Optimization
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