| 自适应粒子群算法在微波电路中应用 |
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| 引用本文： | 童红兰,叶宝江.自适应粒子群算法在微波电路中应用[J].中国科技信息,2012(7):103. |
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| 作者姓名： | 童红兰 叶宝江 |
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| 作者单位： | 华东电子工程研究所,合肥,230088 |
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| 摘 要： | 常规粒子群算法(SPSO)在优化过程中易陷入局部最优,本文分析了常规粒子群算法陷入局部最优的原因,提出采用一种自适应粒子群算法(APSO)避免陷入局部最优,改善算法的收敛性和精度。最后用自适应粒子群算法设计宽带阶梯阻抗变换器,结果表明,与常规粒子群算法相比,自适应粒子群算法全局速度快、成功率和精度也有显著提高。
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| 关 键 词： | 自适应粒子群 宽带 阶梯阻抗变换器 |
The Application of Adaptive Particle Swarm Optimization algorithm on Microwave Circuit |
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| Tong Honglan
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Ye Baojiang.The Application of Adaptive Particle Swarm Optimization algorithm on Microwave Circuit[J].CHINA SCIENCE AND TECHNOLOGY INFORMATION,2012(7):103. |
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| Authors: | Tong Honglan Ye Baojiang |
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| Institution: | Tong Honglan Ye Baojiang East China Research Institute of Electronic Engineering,Hefei 230088 |
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| Abstract: | It is easy to fall in local peak on optimization design by atandard particle swarm optimization(APSO),The reason to fall in local peak was analyzed in the paper.and a new adaptive particle swarm optimization(APSO) algorithm was proposed, which avoids local peak.Finally,broadband stepped impedance transformers are designed by APSO.The result shows that APSO has better probability of finding global optimum.accuracy and speed of convergence than SPSO. |
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| Keywords: | adaptive particle swarm optimization algorithm broadband stepped impedance transformer |
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