改进遗传算法的超视距协同多目标攻击决策

Decision-Making for Cooperative Multiple Target Attack Based on Adaptive Pseudo-Parallel Genetic Algorithm

针对空战中超视距协同多目标攻击决策问题,建立了超视距协同多目标攻击决策的目标分配模型,提出了一种新的自适应伪并行遗传算法,并将其应用于超视距协同多目标攻击决策。重点分析了威胁系数的计算,遗传编码方式、操作算子的确定,最后对协同多目标空战决策进行仿真,仿真结果验证了该理论在协同多目标攻击决策方面的有效性。

Considering air combat decision-making problem in course of cooperative multiple target attack, a model for beyond visual range air combat in cooperative formation is built. Adaptive parallel genetic algorithm is used for decision-making for cooperative multiple target attack.The threaten modulus coding mode and operator are mainly discussed. The experiment results demonstrate that this algorithm could complete the decision-making, and it is feasible.