基于模糊积分控制遗传算法的军事决策仿真
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  • 英文篇名:Military decision-making simulation based on fuzzy integral control genetic algorithm
  • 作者:陈琳 ; 薛青 ; 张俊峰 ; 邓青
  • 英文作者:CHEN Lin;XUE Qing;ZHANG Junfeng;DENG Qing;Academy of Armored Force Engineering;
  • 关键词:模糊控制 ; 遗传算法 ; 自调节 ; 军事决策 ; 稳定性 ; Matlab仿真
  • 英文关键词:fuzzy control;;genetic algorithm;;self-regulation;;military decision-making;;stability;;Matlab simulation
  • 中文刊名:XDDJ
  • 英文刊名:Modern Electronics Technique
  • 机构:陆军装甲兵学院;
  • 出版日期:2019-04-03 17:17
  • 出版单位:现代电子技术
  • 年:2019
  • 期:v.42;No.534
  • 语种:中文;
  • 页:XDDJ201907044
  • 页数:3
  • CN:07
  • ISSN:61-1224/TN
  • 分类号:192-194
摘要
针对军事决策系统中的任务指派问题,提出一种适用于军事决策的模糊积分控制遗传算法。首先对典型遗传算法的原理和不足进行分析;然后设计了一种优化的自调节模糊积分控制器,并将其与遗传算法相结合以便提高搜索和收敛的速度,提高解的质量;最后将提出的模糊积分控制遗传算法在军事决策系统中进行Matlab证了提出算法的可行性和正确性。仿真结果显示,相比标准遗传算法,模糊积分控制遗传算法具有更高的稳定性。
        A fuzzy integral control genetic algorithm suitable for military decision - making system is proposed for the problem of task assignment in military decision-making system. The principle and deficiencies of typical genetic algorithm are analyzed. An optimized self-adjusting fuzzy integral controller is designed,and combined with genetic algorithm to improve the search and convergence speed and solution quality. The proposed fuzzy integral control genetic algorithm used in military decision-making system is simulated with Matlab. The decision-proposed algorithm. The simulation results show that the fuzzy integral control genetic algorithm has higher stability than the standard genetic algorithm.
引文
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