针对基本遗传算法(Genetic Algorithms,GA)易局部收敛的缺陷,借鉴动物捕食搜索策略(PredatorySearch,PS)的思想,设计一种基于捕食搜索策略的改进遗传算法(Predatory Search Genetic Algorithms,PSGA)。通过仿真测试函数与基本遗传算法、自适应遗传算法(Adaptive Genetic Algorithms,AGA)进行比较,结果表明,改进的PSGA提高了算法的综合搜索能力。将改进的PSGA算法在作战飞行器航迹规划中进行应用,通过仿真算例对算法的有效性进行了校验。 Aiming at the defect of easy local convergence of Genetic Algorithms (GA), this paper designs a Predatory Search Genetic Algorithms (PSGA) based on PredatorySearch (PS). The simulation test function is compared with the basic genetic algorithm and the Adaptive Genetic Algorithms (AGA). The results show that the improved PSGA improves the comprehensive search ability of the algorithm. The improved PSGA algorithm is applied in the trajectory planning of combat aircraft, and the validity of the algorithm is verified by simulation examples.