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低空突防航路规划算法综述
引用本文:叶文,朱爱红,范洪达.低空突防航路规划算法综述[J].系统仿真学报,2007,19(10):2357-2361.
作者姓名:叶文  朱爱红  范洪达
作者单位:海军航空工程学院兵器科学与技术系,烟台,264001
摘    要:低空突防在现代战争中发挥着越来越重要的作用,其中航路规划是新一代低空突防技术的关键技术之一。分析了低空突防航路规划算法应满足的条件及其特点,阐述了目前国内外正在应用和研究的几种航路规划算法:动态规划法、电势理论法、启发式A*搜索法、遗传算法、蚁群算法、元胞自动机等。对低空突防航路规划算法的发展方向进行了简要的总结。

关 键 词:航路规划  动态规划  遗传算法  蚁群算法  元胞自动机
文章编号:1004-731X(2007)10-2357-05
收稿时间:2006-03-31
修稿时间:2006-03-312007-03-05

Survey of Route Planning of Low Altitude Penetration
YE Wen,ZHU Ai-hong,FAN Hong-da.Survey of Route Planning of Low Altitude Penetration[J].Journal of System Simulation,2007,19(10):2357-2361.
Authors:YE Wen  ZHU Ai-hong  FAN Hong-da
Institution:Department of Ordnance Science and Technology, Naval Aeronautic Engineer Academy, Yantai 264001, China
Abstract:The low altitude penetration played a more and more important role in modern war, and route planning is one of the key technologies of low altitude penetration.The conditions that should be met and the properties of route planning of low altitude penetration were analyzed. Various methods were illustrated which are being used and being researched both home and overseas at the present time, such as dynamic programming method, the potential theory, the A* search, genetic algorithm, ant colony algorithm, cellular automata, etc. At last, the development tendencies of route planning algorithm for the low altitude penetration technology were summarized.
Keywords:trajectory optimization  dynamic programming  genetic algorithm  ant colony algorithm  cellular automata
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