一种改进的遗传算法及其在线天线阵方向图综合中的应用

提出了一种适用于具有任意几何参数的线天线阵方向图综合的新方法。该方法简单而灵活，是传统遗传算法的一种改进。应用这种方法，以降低线天线阵的旁瓣辐射为优化目标，对线天线阵的方向图进行了优化设计，并将所得结果和Chebyshev方法所得的结果进行了比较，表明新方法综合结果和Chebyshev方法所得结果相近。针对同一问题，还将改进的遗传算法同传统的遗传算法进行了比较，表明改进方法特别适用于参数连续变化的问题。然而，对这一改进算法加入量化过程后同样可应用于离散参数的优化问题中。

An Improved Genetic Algorithms and Its Application in Linear Array Pattern Synthesis

A new method for pattern synthesis of linear array with arbitrary geometric configuration is presented. This is an improvement of the conventional genetic algorithm (GA). With the target of the sidelobe reduction, the linear array patterns are optimized. The results obtained from the new algorithm and the Chebyshev method are compared. It demonstrates that the result of new algorithm is close to that of Chebyshev method. This improved GA is also compared with the conventional GA for same problem and the result shows that it is especially suitable for the problems with continuous configurations. However, it can also be used for the problems with the discrete configurations if a quantified process is introduced.