基于变权重伪并行遗传算法的空战机动决策

Decision-making for air combat maneuvering based on variable weight pseudo-parallel genetic algorithm

针对空战机动决策中态势多样化对机动决策的影响以及控制量的细化问题,以敌我双机空战为背景,利用空战优势函数值作为空战机动决策的依据,基于滚动时域控制方法,采用变权重自适应伪并行遗传算法解决空战决策问题。重点分析了隐身优势函数以及变权重函数的建立、遗传编码方式、操作算子的确定,最后对空战决策进行了仿真。仿真结果验证了隐身优势函数的合理性,以及该理论在空战机动决策方面的有效性。

Considering a scenario of air combat involving two opposed fighters, a decision-making model based on variable weight adaptive parallel genetic algorithm is established by the continually updated preponderance function. This paper mainly discusses the preponderance function, variable weight function, coding mode and operator. The experiment results demonstrated that this algorithm is feasible because it could complete the decision-making for air combat.