Abstract:The double-crossover Genetic Algorithm (GA) extending the basic idea of conventional Genetic Algorithms(GAs) is presented. The double-crossover GA with the double-crossover reproduction operation and parametric chromosomes gets rid of the dependence of the convergence of conventional GAs on the initial population, avoids troublesome encoding and decoding, and is more practical and effective than conventional GAs. To illustrate effectiveness and practicality, the double-crossover GA is applied to the scanning radiation pattern synthesis of aperiodic circular arrays. The successful application shows that the double-crossover GA can be used as a general tool for radiation pattern synthesis of antenna arrays.
李东风;龚中麟. 双交换遗传算法及其在非周期天线阵方向图综合中的应用[J]. 电子与信息学报, 2003, 25(2): 242-246 .
Li Dongfeng; Gong Zhonglin. The double-crossover genetic algorithm and its application in radiation pattern synthesis of aperiodic antenna arrays. , 2003, 25(2): 242-246 .