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提出了一种改进的遗传算法。在同一代中对各个个体采用不重复交叉和不重复变异的策略和分别在交叉和变异后采用精英保留的策略,并改进了自适应规则。将该算法应用于实现线阵超低副瓣方向图。将各个天线单元的电流幅度和单元间距作为参量进行优化。给出了线阵天线单元在不同单元个数和不同间距条件下的优化结果。结果表明,该改进的遗传算法能够优化实现低于-40dB的超低副瓣,优于已有文献中遗传算法对天线阵副瓣的综合设计结果。
An improved genetic algorithm is proposed. In the same generation, the strategies of non-repetitive crossover and non-repetitive mutation were adopted for each individual and the tactics of elitist retention after crossover and mutation were respectively adopted. And adaptive rules were improved. The algorithm is applied to realize the ultra low sidelobe pattern of linear array. The current amplitude and cell pitch of each antenna element are optimized as parameters. The optimization results of the antenna array with different number of elements and different spacing are given. The results show that the improved genetic algorithm can optimize the ultra-low sidelobe below -40dB, which is better than the result of the comprehensive design of the antenna array sidelobe by the genetic algorithm in the literature.