传统天线优化方法通常依靠高频结构仿真(high frequency structure simulator,HFSS)自带的参数优化器,不仅工作量大,而且效率低下,难以在短时间内获得最优设计方案。为了解决这个问题,提出了一种改进的萤火虫算法。在种群分布方面,引入...传统天线优化方法通常依靠高频结构仿真(high frequency structure simulator,HFSS)自带的参数优化器,不仅工作量大,而且效率低下,难以在短时间内获得最优设计方案。为了解决这个问题,提出了一种改进的萤火虫算法。在种群分布方面,引入了Logistic混沌映射初始化种群。为了平衡算法全局探索与局部开发能力,引入了参数动态自适应机制,采用步长因子的指数递减策略与光吸收系数的递增策略,二者相互协同,解决了传统萤火虫算法参数敏感的问题。对于每次迭代中适应度值较差的个体,采用莱维飞行策略,帮助其跳出局部最优。上述改进后的萤火虫算法经测试后,展现出良好的性能。将改进后的算法应用于一种三频段天线的设计与优化中,结果表明,经算法优化后天线的回波损耗最低达到-37.5 dB,低频带和高频带的带宽提高至0.4 GHz和0.93 GHz,相比于原来分别提升了37%和36%,符合预期要求。展开更多
A new project based on genetic algorithm (GA) and high frequency simulation software (HFSS) is proposed to optimize microwave passive devices effectively. This project is realized with a general program named as optim...A new project based on genetic algorithm (GA) and high frequency simulation software (HFSS) is proposed to optimize microwave passive devices effectively. This project is realized with a general program named as optimization program. The program is compiled by Matlab and the macro language of HFSS which is a fast and effective way to accomplish tasks. In the paper, two examples are used to show the project’s feasibility.展开更多
基金Supported by the Specialized Research Fund for the Doctored Program of Higher Education (No.20010614003) and the Key Project of Chinese Ministry of Education (No.104166)
文摘A new project based on genetic algorithm (GA) and high frequency simulation software (HFSS) is proposed to optimize microwave passive devices effectively. This project is realized with a general program named as optimization program. The program is compiled by Matlab and the macro language of HFSS which is a fast and effective way to accomplish tasks. In the paper, two examples are used to show the project’s feasibility.
