基于遗传算法的协同多目标攻击空战决策方法

多机协同多目标攻击是未来空对空作战的一种重要形式。首先建立了多机协同空战的自主优势矩阵 ,并依据多人冲突决策理论构造了空战的总体优化指标向量 ,然后针对其他优化算法的不足 ,提出用遗传算法优化该指标向量 ,实现多机协同多目标攻击空战决策 ,最后对 2∶ 2空战进行了仿真。仿真结果证明了上述思想的正确性。

Air Combat Decision of Cooperative Multi-target Attack Based on Genetic Algorithms

First an index to estimate the state of both sides of the air-to-air combat is constructed,which is based on our detailed analysis of circumstances of the real combat and bargaining theory.By optimizing the index,the decision method of cooperatively attacking multiple targets by multiple fighters is realized.To cope with the shortages of other optimal methods,we propose genetic algorithms to optimize the index.Numerical simulation results illustrate that the index is quite adaptive and the genetic algorithms is valid.