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为了提高预警机/战斗机协同空战攻击决策算法性能,将变异策略和启发式策略引入到DPSO(Discrete Particle Swarm Optimization)协同空战攻击决策算法中,提出了一种新的基于HMDPSO(Heuristic Mutation Discrete Particle Swarm Optimization)的协同空战攻击决策算法。基于典型空战想定背景,仿真验证了算法的有效性。采用对比实验方法,基于准确性、可靠性和快速性等关键性能指标,分析比较了基于HMDPSO协同空战攻击决策算法与多种智能决策算法。比较研究结果表明,基于HMDPSO的协同空战攻击决策算法有着较好的综合性能。
In order to improve the performance of AWACS fighter cooperative air combat attack decision algorithm, the mutation strategy and the heuristic strategy are introduced into the DPSO cooperative air combat attack decision algorithm, a new HMDPSO (Heuristic Mutation Discrete Particle Swarm Optimization) ) Cooperative air combat attack decision algorithm. Based on the typical air combat scenario, the simulation results show the effectiveness of the algorithm. Based on the key performance indicators such as accuracy, reliability and rapidity, the comparative experiment method is used to analyze and compare the cooperative air combat attack decision algorithm based on HMDPSO and various intelligent decision algorithms. The comparative research results show that the cooperative air combat attack decision algorithm based on HMDPSO has a good overall performance.