摘要
作战仿真实验是评估电子对抗作战效能的理想方法,但在方案寻优时却面临实验方案"组合爆炸"的困难。对此,提出了将遗传算法引入作战实验寻优过程的求解思路。简要介绍了电子对抗作战仿真系统;分析了电子对抗作战方案拟制一般流程,建立了电子对抗作战方案优化模型,并给出了结合遗传算法和作战实验对其进行求解的原理和步骤;通过空袭作战电子对抗方案寻优的实例验证了方法的有效性。结果显示,本方法能够极大地提高寻优效率。
Warfare simulation experiment is the ideal method to estimate the operational efficiencyof electronic countermeasure (ECM). But combination explosion problem of experiment schemes willappear when searching for the optimized scheme. To solve the problem,the idea of introducing geneticalgorithm into the warfare experiment is advanced. The electronic warfare simulation system is brieflyintroduced. The common process of making ECM operational scheme is analysed. ECM operationalscheme optimization model is built. The principle and procedure of the combination method of geneticalgorithm and warfare experiment is described. An example of ECM scheme optimization in thebackground of air strike is demonstrated,which shows that the optimization efficiency is greatlyimproved.
作者
王枭
刘雅奇
齐锋
WANG Xiao;LIU Ya-qi;QI Feng(Electronic Engineering Institute,Hefei 230037,China)
出处
《火力与指挥控制》
CSCD
北大核心
2016年第8期155-159,164,共6页
Fire Control & Command Control
基金
全军军事类研究生基金资助项目(2013JY312)
关键词
电子对抗
作战实验
方案优化
遗传算法
electronic countermeasure
warfare experiment
scheme optimization
genetic algorithm
