遗传算法在多目标干扰中的应用

为了解决多目标干扰中多参数波形优化设计，在标准遗传算法的基础上，对交叉、变异概率做自适应处理，提出一种基于二进制编码的自适应遗传算法。改进后的自适应遗传算法不仅解决了多参数波形优化中需考虑参数过多、高维、无约束条件、无法用常规方法得到理想波形的问题，而且与标准遗传算法以及未做自适应处理的改进遗传算法相比，在算法的收敛性方面和全局搜索方面都有了提高。仿真实验证明该算法的有效性和正确性。

Genetic Algorithm for Multipurpose Jamming

To solve the problem of multi-parameter optimizations during multipurpose jammings, an self-adaptive genetic algorithm using binary encoding which changes its crossover and mutation adaptively is presented on the basis of the standard genetic a!gorithm. Compared to the standard genetic algorithm, the presented algorithm not only solves the problem of involving excessive, high-dimensional, unrestricted parameters and but also overcomes dif- ficulties of getting ideal wave shapes using conventional methods. Moreover, the convergence and global searching capability are improved, and these simulntions show the availability and correctness of the presented algorithm.