用于微波电路优化的免疫算法  

Microwave circuit optimization based on the immune algorithm

作　　者：许殿[1] 史小卫[1] 

机构地区：[1]西安电子科技大学理学院,陕西西安710071

出　　处：《西安电子科技大学学报》2004年第6期900-904,共5页Journal of Xidian University

基　　金：国家自然科学基金资助项目(69971017)

摘　　要：免疫算法将浓度、亲和力作为个体解的最优性标准,从而低浓度、高适应的个体得到更多的繁殖机会.由于免疫算法重视解群体中个体的多样性,避免了现有算法的过早收敛.用一个典型的数学算例验证了免疫算法的多峰值寻优性能,并用4种方法分别设计宽带阶梯阻抗变换器,结果表明基于免疫算法的微波电路优化设计具有可行性和高效性.The immune algorithm (IA) selects thickness and affinity as the optimality criterions of individuals, and accordingly reproduces the individuals that have small thickness and large fitness. The IA increases the ability to fight premature by calculating individuals' multiplicities. A numerical example demonstrates its capability to solve the multimodal function. Broadband stepped impedance transformers are designed by four methods respectively. The result shows that microwave circuit optimization based on the IA is feasible and high efficient.

关 键 词：免疫算法 遗传算法 过早收敛 阶梯阻抗变换器 

分 类 号：TN624[电子电信—电路与系统]