Formation-optimizing algorithm for large-scale air combat

Qing Jun Xia, An Zhang, Yao Zhong Zhang

科研成果: 期刊稿件文章同行评审

9 引用 (Scopus)

摘要

Formation optimization is an important tactic in large-scale air combats. However, there is no proper standard for evaluating the formation performance. A formation target function is proposed as the evaluation standard based on the market mechanism in target allocation. To verify the effectiveness of this evaluation standard, the adaptive genetic algorithm is applied to the formation optimization. Therein, the hierarchical structure method is used to encode and decode the formation in the large-scale air combat. Next, the fitness function is constructed by using the formation target function. Finally, the effectiveness of the formation optimization algorithm is illustrated by three scenarios.

源语言英语
页(从-至)1418-1422
页数5
期刊Kongzhi Lilun Yu Yingyong/Control Theory and Applications
27
10
出版状态已出版 - 10月 2010

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