摘要
针对传统武器目标分配(WTA)方法中将目标视为彼此相互独立实体的不足,提出一种联合目标模型。该模型能够反映攻击方攻击意图及其对目标内在关系的理解。将贝叶斯优化算法(BOA)引入到协同攻击优化领域中。在目标分配的基础上定义一种武器-目标映射原则,通过该原则实现了无人作战飞机(UCAV)编队对联合目标的协同攻击。仿真结果表明了联合目标模型和武器-目标映射原则的合理性,通过与遗传算法(SGA)结果的比较说明了引入贝叶斯优化算法的必要性。
Aiming at disadvantages of traditional weapon-target assignment （WTA） methods which treat targets as mutually independent entities, a kind of associated targets model was proposed. This model expressed the attacker＇s intent and knowledge about targets＇ inner relationship, The Bayesian Optimization Algorithm （BOA） was introduced to tackle the coordination attack problem. A weapon-target mapping rule was defined based on the WTA to solve the problem that how Unmanned Combat Air Vehicles （UCAVs） attacked associated targets in coordination. Simulation results manifest the rationality of the associated targets model and weapon-target mapping rule, comparison between the results of BOA and the stochastic genetic algorithm （SGA） shows the necessarily to introduce BOA.
出处
《系统仿真学报》
EI
CAS
CSCD
北大核心
2008年第10期2693-2696,共4页
Journal of System Simulation
基金
航空基金(05D53022)
