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| A Numerical Fitting Method of Surface-to-Air Missile Launch Area Based on Symbolic Regression |
| LI Zenghao1， SHI Zhenxing1， WANG Xiang2， LEI Youfeng2，
MA Shanbin3， GAO Song4 |
| 1. Shanghai Electro-Mechanical Engineering Institute， Shanghai 201109， China；
2. Unit 95836 of the Chinese People's Liberation Army， Jiuquan 735000， Gansu， China；
3. The 3rd Military Representative Office in Shanghai， Shanghai 200031， China；
4. COMAC Shanghai Aircraft Customer Service Co.， Ltd.， Shanghai 200241， China |
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Abstract To address the issues of low fitting accuracy, difficult model design, and poor adaptability to multi-dimensional inputs in launch area calculation for surface-to-air missiles during combat missions, this paper proposes a numerical fitting method for the launch area based on symbolic regression. The method employs a genetic programming algorithm to simultaneously optimize both model structure and model parameters, ultimately yielding an explicit numerical fitting model that is readily interpretable, thereby facilitating model design and integrated deployment in embedded systems. Simulation results demonstrate that the proposed method can effectively handle multi-dimensional inputs while maintaining or even improving fitting accuracy compared with previous methods.
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Received: 01 April 2026
Published: 04 August 2026
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| [1] |
ZHANG Dayuan, JIANG Desheng, CHEN Guanyu, MENG Feixiang. Research on Evaluation Method of Surface-to-Air Missile System Survival Effectiveness Based on Remaining Operational Capability[J]. Air & Space Defense, 2022, 5(4): 24-29. |
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ZHENG Yikai, FAN Yunfeng, ZHANG Sipei, ZHU Ying, WU Kai. Effectiveness Analysis of Surface-to-Air Missile System Based on Improved Grey Evaluation Model[J]. Air & Space Defense, 2021, 4(2): 20-26. |
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2026, Vol. 9 
