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基于遗传算法的光电干扰任务分配模型
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杜宇, 焦均均, 孟令杰
科技导报 | 专题:电子战 2019,37(4): 76-80
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科技导报 |专题:电子战 2019 , 37 (4) : 76 -80
基于遗传算法的光电干扰任务分配模型
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杜宇, 焦均均, 孟令杰
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作者简介:
杜宇,助理研究员,研究方向为光电武器作战仿真,电子信箱:cewc2017@163.com
Assignment distribution model for electro-optic jamming assignment based on genetic algorithms
DU Yu, JIAO Junjun, MENG Lingjie
Affiliations
    College of Electronic Engineering, National University of Defense Technology, Hefei 230037, China
出版时间: 2019-02-28 doi: 10.3981/j.issn.1000-7857.2019.04.013
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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。
光电干扰  /  任务分配  /  遗传算法
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.
electro-optic jamming  /  assignment distribution  /  genetic algorithms
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. 科技导报, 2019 , 37 (4) : 76 -80 . DOI: 10.3981/j.issn.1000-7857.2019.04.013
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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doi: 10.3981/j.issn.1000-7857.2019.04.013
  • 接收时间:2018-11-07
  • 首发时间:2019-03-08
  • 出版时间:2019-02-28
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2种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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