Volume 37, Number 2, April 2019
|Page(s)||354 - 360|
|Published online||05 August 2019|
Target Allocation Method of Multi-Aircraft Cooperative Air Combat Based on Improved Artificial Immune Algorithm
93175 Troops, The Chinese People's Liberation Army, Changchun 130000, China
2 Air Traffic Control and Navigation College, Air Force Engineering University, Xi’an 710051, China
3 94754 Troops, The Chinese People's Liberation Army, Jiaxing 314000, China
4 95026 Troops, The Chinese People's Liberation Army, Foshan 528000, China
Aiming at the target allocation of multi-aircraft cooperative air combat, an improved artificial immune algorithm is proposed based on the modeling for comprehensive superiority function. Firstly, the random generation method and artificial construction method are used to create two initial populations, which ensure the diversity of the initial populations; following is to evolve the populations by adopting two different selection, crossover and mutation operations; then, the designed new immigration operator is used to exchange information among the populations, which further increases the diversity of the populations and improves the search efficiency. Finally, the comparison of the improved artificial immune algorithm with the traditional artificial immune algorithm had been made. Simulation results show that the improved artificial immune algorithm can effectively improve the premature convergence problem, and the search efficiency, the optimal allocation scheme is obtained, which is suitable for target allocation problem of multi-aircraft cooperative air combat and meet the actual operational requirements.
Key words: multi-aircraft cooperation / target allocation / improved artificial immune algorithm / immigration operator / allocation scheme
关键字 : 多机协同 / 目标分配 / 改进人工免疫算法 / 移民算子 / 分配方案
© 2019 Journal of Northwestern Polytechnical University. All rights reserved.
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