%0 Journal Article
%T Formation-optimizing algorithm for large-scale air combat<br>大规模编队空战队形优化算法
%A XIA Qing-jun
%A ZHANG An
%A ZHANG Yao-zhong
%A <br>夏庆军
%A 张安
%A 张耀中
%J 控制理论与应用
%D 2010
%I 
%X 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.
%K formation optimization
%K adaptive genetic algorithms
%K market mechanism
%K fitness function<br>队形优化
%K 自适应遗传算法
%K 市场机制
%K 适应度函数
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=A06050EF2CAFC7F9A9021C2C84E9461C&yid=140ECF96957D60B2&vid=DB817633AA4F79B9&iid=F3090AE9B60B7ED1&sid=782B98DFA363AFCB&eid=E64BF5BE957AB7AB&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=1&reference_num=0