| 基于遗传算法的光电干扰任务分配模型 |
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| 引用本文： | 杜宇,焦均均,孟令杰. 基于遗传算法的光电干扰任务分配模型[J]. 科技导报(北京), 2019, 37(4): 76-80. DOI: 10.3981/j.issn.1000-7857.2019.04.013 |
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| 作者姓名： | 杜宇 焦均均 孟令杰 |
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| 作者单位： | 国防科技大学电子对抗学院,合肥,230037;国防科技大学电子对抗学院,合肥,230037;国防科技大学电子对抗学院,合肥,230037 |
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| 摘 要： | 为评估光电干扰目标的威胁度,选取了目标的类型、速度、高度、距离、角度和目标的航路捷径等指标,构建了干扰任务分配模型,应用遗传算法对分配任务模型进行了求解,并通过实例验证方法的可行性。
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| 关 键 词： | 光电干扰 任务分配 遗传算法 |
| 收稿时间： | 2018-11-07 |
Assignment distribution model for electro-optic jamming assignment based on genetic algorithms |
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| DU Yu,JIAO Junjun,MENG Lingjie. Assignment distribution model for electro-optic jamming assignment based on genetic algorithms[J]. Science & Technology Review, 2019, 37(4): 76-80. DOI: 10.3981/j.issn.1000-7857.2019.04.013 |
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| Authors: | DU Yu JIAO Junjun MENG Lingjie |
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| Affiliation: | College of Electronic Engineering, National University of Defense Technology, Hefei 230037, China |
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| Abstract: | This paper evaluates the threat degree of photoelectric interference targets by selecting the style, the speed, the altitude, the distance, the angle, the route of the target as the evaluation indices, and constructing an interference task allocation model. The genetic algorithm is used to implement the model and the feasibility of the method is verified by an example. |
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| Keywords: | electro-optic jamming assignment distribution genetic algorithms |
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