| 解坦克分队武器-目标分配问题的小生境遗传算法 |
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| 引用本文： | 常天庆,白帆,王钦钊.解坦克分队武器-目标分配问题的小生境遗传算法[J].装甲兵工程学院学报,2012,26(1):44-49. |
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| 作者姓名： | 常天庆 白帆 王钦钊 |
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| 作者单位： | 1. 装甲兵工程学院控制工程系,北京,100072
2. 装甲兵工程学院控制工程系,北京100072／92373部队,辽宁大连116001 |
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| 摘 要： | 为快速求解坦克分队武器-目标分配（Weapon-Target Assignment,WTA）模型,对基本遗传算法的关键步骤进行改进,设计了独特的基于火力单元排序的战术种群初始化策略,引入小生境共享函数和参数自适应机制,完成了基于小生境自适应改进遗传算法的设计与实现。最后进行了仿真试验,试验结果表现出了良好的收敛效果。
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| 关 键 词： | 武器-目标分配 遗传算法 小生境 坦克分队 |
A Niche-based Improved Genetic Algorithm for Tank Element Weapon-Target Assignment Problem Solving |
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| CHANG Tian-qing,BAI Fan,WANG Qin-zhao.A Niche-based Improved Genetic Algorithm for Tank Element Weapon-Target Assignment Problem Solving[J].Journal of Armored Force Engineering Institute,2012,26(1):44-49. |
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| Authors: | CHANG Tian-qing BAI Fan WANG Qin-zhao |
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| Institution: | 1(1.Department of Control Engineering,Academy of Armored Force Engineering,Beijing 100072,China; 2.Troop No.92373 of PLA,Dalian 116001,China) |
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| Abstract: | In order to solve the tank element Weapon-Target Assignment(WTA) model rapidly,several key operations in basic genetic algorithm are improved.A unique fire-unit-sorting-based tactical population initialization method is addressed.Adopting the niche shared function and parameters self-adaptive mechnism accomplishes the design of an improved Niche-based Adaptive Genetic Algorithm(NAGA).In the end,the simulation for real time and reliability is tested.The results test illustrate that this algorithm is valid with better convregent effect. |
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| Keywords: | Weapon-Target Assignment(WTA) genetic algorithm niche tank element |
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