| 基于遗传算法的防空兵群最优火力分配模型 |
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| 引用本文： | 高俊伟,谢永亮,高毅. 基于遗传算法的防空兵群最优火力分配模型[J]. 兵工自动化, 2007, 26(3): 8-8,17 |
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| 作者姓名： | 高俊伟 谢永亮 高毅 |
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| 作者单位： | 防空兵指挥学院,研究生15队,河南,郑州,450052;防空兵指挥学院,研究生15队,河南,郑州,450052;防空兵指挥学院,研究生15队,河南,郑州,450052 |
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| 摘 要： | 基于遗传算法的防空兵群最优火力分配模型,运用战场目标价值和防空兵火力分配情况建立.最大限度发挥武器火力单位效能并达到最大毁伤效果.步骤包括:采用实数编码,通过构建染色体,生成初始群种;计算适应度,检验初始群种;操作遗传算子并改进选择、交叉、变异等操作.最后求解最优解,找出最优的分配方案.
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| 关 键 词： | 遗传算法 防空兵群 最优火力 分配模型 |
| 文章编号： | 1006-1576（2007）03-0008-01 |
| 收稿时间： | 2006-11-28 |
| 修稿时间： | 2006-11-282007-01-15 |
Optimum Firepower Distribution Model for Caboodle of Air Defense Force Based on Genetic Algorithm |
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| GAO Jun-wei,XIE Yong-liang,GAO Yi. Optimum Firepower Distribution Model for Caboodle of Air Defense Force Based on Genetic Algorithm[J]. Ordnance Industry Automation, 2007, 26(3): 8-8,17 |
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| Authors: | GAO Jun-wei XIE Yong-liang GAO Yi |
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| Affiliation: | No. 15 Brigade of Graduate, Air Defense Forces Command Academy, Zhengzhou 450052, China |
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| Abstract: | Optimum firepower distribution model for caboodle of air defense force based on genetic algorithm is established by using the battlefield object value and air defense firepower distribution. The model can exert the highest point of firepower unit efficiency of weapon and realize the most damage effect. The steps includes adopting real number to code,creating original community through building chromosome;calculating the degree of adaptation,checking out the original community;manipulating the inherit algorithm operators and ameliorating the manipulation of election,chiasma,variation and so on. At last,calculate the optimum selection and find out the optimum select of distributive project. |
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| Keywords: | Genetic algorithm Caboodle of air defense force Optimum firepower Model of distribution |
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