摘要
嫁接种群向进化种群添加个体的多样信息,避免了基本遗传算法的过早收敛。同时嫁接种群指导进化方向,加快了收敛速度。另一方面交叉矩阵使适值高的个体以低概率交叉,在一定程度上改善了算法的收敛性。最后用四种优化方法设计宽带阶梯阻抗变换器,结果表明基于嫁接遗传算法的微波电路优化设计具有高效性和精确性。
Grafted population adds multiple information of individuals to evolutionary population, which avoids premature convergence of SGA. It also guides evolution and expedites convergence. On the other hand,crossover matrix makes it possible for higher fitness individuals to cross at lower probability and accordingly improves the convergence to some degree. In this paper, four methods are adopted respectively in designing broadband stepped impedance transformer. The result indicates that microwave circuit optimization based on grafted genetic algorithm has the advantages of high efficiency and accuracy. .
出处
《电波科学学报》
EI
CSCD
2003年第4期453-456,共4页
Chinese Journal of Radio Science
