基于遗传算法的电子对抗作战实验寻优方法

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。

Electronic Countermeasure Warfare Experiment Optimization Method Based on Genetic Algorithm

Warfare simulation experiment is the ideal method to estimate the operational efficiency of electronic countermeasure (ECM). But combination explosion problem of experiment schemes will appear when searching for the optimized scheme. To solve the problem,the idea of introducing genetic algorithm into the warfare experiment is advanced. The electronic warfare simulation system is briefly introduced. The common process of making ECM operational scheme is analysed. ECM operational scheme optimization model is built. The principle and procedure of the combination method of genetic algorithm and warfare experiment is described. An example of ECM scheme optimization in the background of air strike is demonstrated, which shows that the optimization efficiency is greatly improved.