基于择向交叉遗传算法远距支援干扰部署优化

doi:10.16182/j.issn1004731x.joss.201806033

系统仿真学报 ›› 2018, Vol. 30 ›› Issue (6): 2263-2271.doi: 10.16182/j.issn1004731x.joss.201806033

基于择向交叉遗传算法远距支援干扰部署优化

罗金亮, 金家才, 王雷, 丁锋

电子工程学院,安徽合肥 230037

收稿日期:2016-08-09 修回日期:2016-12-26 出版日期:2018-06-08 发布日期:2018-06-14
作者简介:罗金亮(1985-),男,江西吉安,博士,讲师,研究方向为电子对抗作战效能评估;金家才(1965-),男,安徽潜山,硕士,博导,教授,研究方向为电子对抗战术。
基金资助:
国家社会科学基金(16GJ004-276),全军军事类研究生资助课题(2015JY251),安徽省自然科学基金(1308085QF105)

Optimal Deployment of Distant Support Jamming Formation Based on Directional Crossover Genetic Algorithm

Luo Jinliang, Jin Jiacai, Wang Lei, Ding Feng

Electronic Engineering Institute, Hefei 230037, China

Received:2016-08-09 Revised:2016-12-26 Online:2018-06-08 Published:2018-06-14

摘要/Abstract

摘要： 为提高空中进攻作战突击编队的突防能力,进行远距支援干扰部署优化研究。选择空中进攻作战突击航路被敌探测威胁总量为衡量指标,建立了远距支援干扰部署优化模型;运用基于图像封闭区域检测的方法进行适应度值计算,解决了传统几何解析法准确计算干扰条件下雷达网探测覆盖范围难的问题;设计了一种择向交叉遗传算法以进行部署优化模型解算,仿真结果显示,该算法在全局搜索能力及收敛速度方面均优于当前解算性能较好的非线性交叉遗传算法。

关键词: 空中进攻作战, 远距支援干扰, 部署优化, 择向交叉, 实数遗传算法

Abstract: Optimal deployment of distant support jamming formation is studied for improving penetration capability of air assault group in air offensive operation. The total detection threats of penetration route are chosen as the performance indicator, and the optimal deployment mode of distant support jamming formation is built. The closed region detection method is used to compute fitness value. The difficult problem of computing detection coverage of radar net under jamming condition is solved by using traditional geometry analytic method. A selective directional crossover genetic algorithm is designed to compute the optimal deployment mode. The simulation results show that the algorithm has stronger global searching capability and faster convergence speed than nonlinear crossover genetic algorithm for which the computation performance is better at present.

Key words: air offensive operation, distant support jamming, optimal deployment, selective direction crossover, real-coded genetic algorithm

中图分类号:

TN972

罗金亮, 金家才, 王雷, 丁锋. 基于择向交叉遗传算法远距支援干扰部署优化[J]. 系统仿真学报, 2018, 30(6): 2263-2271.

Luo Jinliang, Jin Jiacai, Wang Lei, Ding Feng. Optimal Deployment of Distant Support Jamming Formation Based on Directional Crossover Genetic Algorithm[J]. Journal of System Simulation, 2018, 30(6): 2263-2271.

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基于择向交叉遗传算法远距支援干扰部署优化

Optimal Deployment of Distant Support Jamming Formation Based on Directional Crossover Genetic Algorithm

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