期刊文献+

基于遗传算法的多枚巡飞子弹探测阶段协同弹道规划 被引量:1

Trajectory Planning of Loitering Submunition on Detective Stage Based on Genetic Algorithm
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摘要 运用遗传算法原理,结合具体问题编制了相应的算法程序,对多枚子弹的协同弹道进行了全局的优化设计,得到了满足作战要求的可行解,也为巡飞子母弹的作战效能评估提供了依据. Associating with the practical problem, genetic algorithm theory is used to compile corresponding programs and make overall optimization of design to the several coordinated submunition trajectory. Feasible result is gained and it provides basis for the evaluation of the submunition fight efficiency.
出处 《战术导弹技术》 北大核心 2006年第5期80-82,共3页 Tactical Missile Technology
关键词 巡飞 协同弹道 遗传算法 全局优化 loitering coordinated trajectory genetic algorithm overall optimization
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参考文献1

  • 1[日]玄光男,[日]程润伟著,于歆杰,周根贵.遗传算法与工程优化[M]清华大学出版社,2004.

同被引文献15

  • 1沈林成,牛轶峰,朱华勇.多无人机自主协同控制理论与方法[M].北京:国防工业出版社,2013.
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  • 7苗吴春,杨栓虎.智能化弹药[M].北京:国防工业出版社,2014.
  • 8康崇禄.蒙特卡罗方法理论和应用[M].北京:科学出版社,2014.
  • 9Du Y H, fiui It, Li B, et al. Reasearch on regional coverage with LAVs on MOPSOA [ J ]. Journal of Information & Compu- tional Science, 2015, 12(6) :2081 -2092.
  • 10Zheng Y J, Song Q, Chen S Y. Muhiobjective fireworks optimi- zation for variable-rate fertilization in oil crop production [ J ]. Applied Soft Computing, 2013, 13( 11 ) :4253 -4263.

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