基于PSGA的作战飞行器航迹规划研究  

Study of Combat Aerial Vehicle Route Planning Based on PSGA

作　　者：汲万峰[1] 黄启来[1] 王光源[1] 潘丕山 

机构地区：[1]海军航空工程学院,烟台264001 [2]海军北海舰队司令部航保处,青岛266042

出　　处：《战术导弹技术》2013年第4期42-48,共7页Tactical Missile Technology

摘　　要：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 limitation of basic genetic algorithm easy partial constriction,an improved genetic algorithm based on predatory search strategy is designed.Simulation result show that comparison with basic genetic algorithm and adaptive genetic algorithm the predatory search genetic algorithm has advantage in enhancing integrate hunting ability.The improved genetic algorithm is applied in airborne craft’s route planning and the effectiveness of the algorithm is validated by simulation.

关 键 词：捕食搜索策略 PSGA 航迹规划 

分 类 号：V279[航空宇航科学与技术—飞行器设计]