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基于机动目标威胁和粒子群算法的航路规划
引用本文:汲万峰,姜礼平,朱建冲,阮冰.基于机动目标威胁和粒子群算法的航路规划[J].电光与控制,2010,17(11).
作者姓名:汲万峰  姜礼平  朱建冲  阮冰
作者单位:1. 军事科学院军事运筹分析研究所,北京,100091
2. 海军工程大学,武汉,430033
基金项目:海军工程大学自然科学基金资助课题 
摘    要:执行飞行作战任务前对飞行航路进行合理规划十分重要,而环境/威胁建模是航路规划需要解决的首要问题。根据飞行过程中可能遇到的各种威胁源的特点,建立了山体障碍、恶劣气候及导弹、高炮固定阵地等各种静态威胁源的威胁概率函数模型,并进一步构建了机动导弹、高炮等动态威胁源的威胁概率函数模型;针对粒子群算法全局搜索能力强、收敛性好的特点,将粒子群算法运用到航路规划中,并进行了仿真实验,仿真结果证明了模型及算法的有效性。

关 键 词:航路规划  威胁概率  机动威胁  粒子群算法

Route Planning Based on Mobile Threat and Particle Swarm Optimization
JI Wanfeng,JIANG Liping,ZHU Jianchong,RUAN Bing.Route Planning Based on Mobile Threat and Particle Swarm Optimization[J].Electronics Optics & Control,2010,17(11).
Authors:JI Wanfeng  JIANG Liping  ZHU Jianchong  RUAN Bing
Affiliation:JI Wanfeng1,JIANG Liping2,ZHU Jianchong2,RUAN Bing1(1.Operational Research Institute in Academy of Military Science,Beijing 100091,China,2.Naval University of Engineering,Wuhan 430033,China)
Abstract:The reasonable route planning is very important for a fighter aircraft before it executes a combat task,and modeling of environment/threat is critical for the route planning.Based on the features of various threats that may be met during the flight,the models of threat probability function were built up for such threats as mountain,bad weather,immobile threats of missile and artillery bases.Then the models of threat probability function for such dynamic threats as mobile missile/artillery were also construc...
Keywords:route planning  threat probability  mobile threat  particle swarm optimization  
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