摘要
以不完全信息动态博弈理论为基础,无人机攻防对抗问题为背景,建立无人机攻防对抗问题的不完全信息动态博弈模型;针对博弈树的求解问题,设计免疫进化算法,求解问题的贝叶斯纳什均衡解,得到无人机的最优策略序列。仿真结果表明该模型能够合理的应用于无人机攻放对抗问题当中,具有较好的应用价值。
Based on dynamic game with incomplete information theory, and took UAV attack-defends campaign as background, the dynamic game with incomplete information model of UAV attack-defends campaign was established. According to the problem of game tree solution, the immune evolutionary algorithm was designed, the Bayesian Nash equilibrium was carried out, and the best strategy sequence was achieved. The simulating result shows that it can be applied in the model of the UAV attack-defends campaign appropriately and has a nice value in application.
出处
《兵工自动化》
2009年第1期4-7,共4页
Ordnance Industry Automation
关键词
攻防对抗
不完全信息动态博弈
免疫进化算法
贝叶斯纳什均衡
Attack-defends campaign
Dynamic game with incomplete information
Immune evolutionary algorithm
Bayesian Nash equilibrium
