| 基于GA的编队水下多目标防御火力分配研究 |
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| 引用本文： | 沈治河,宋保维,唐剑锋.基于GA的编队水下多目标防御火力分配研究[J].系统仿真学报,2008,20(17). |
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| 作者姓名： | 沈治河 宋保维 唐剑锋 |
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| 作者单位： | 1. 海军大连舰艇学院,辽宁,大连,116018
2. 西北工业大学,陕西,西安,710072 |
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| 摘 要： | 结合舰艇编队对鱼雷防御作战的特点,建立了舰艇编队水下多目标防御火力优化分配模型.为了获得全局最优解,将遗传算法(GA)用于水下多目标防御火力分配优化研究中,给出了基于遗传算法的模型求解方法和步骤.经过实例分析与计算机MATLAB仿真实现,得出编队抗击水下多目标的最优策略,取得了良好的目标分配效果,可为舰艇编队对水下多目标防御作战指挥自动化决策提供科学的参考.
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| 关 键 词： | 舰艇编队 遗传算法 水下多目标防御 火力分配 鱼雷威胁 |
Research of Optimal Allocation of Naval Fleet Underwater Multi-objective Defense Based on Genetic Algorithm |
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| SHEN Zhi-he,SONG Bao-wei,TANG Jian-feng.Research of Optimal Allocation of Naval Fleet Underwater Multi-objective Defense Based on Genetic Algorithm[J].Journal of System Simulation,2008,20(17). |
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| Authors: | SHEN Zhi-he SONG Bao-wei TANG Jian-feng |
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| Abstract: | Concerning the feature of naval fleet defending against torpedo,an optimal model of anti-torpedo target assignment was established. In order to find global optimal results efficiently,genetic algorithm was used for solving the optimal allocation of naval fleet underwater multi-objective defense,the resolving and approach was proposed based on genetic algorithm. The optimal allocation of anti-torpedo was got and the ideal results were obtained. This shows that the method can offer a scientific reference for the decision maker in command automation of the underwater multi-objective defense combat. |
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| Keywords: | naval fleet genetic algorithm underwater multi-objective defense firepower allocation torpedo menace |
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