Multi-Objective Neuro-Space Mapping Algorithm and Its Application to Optimal Design of Microstrip Filter

TIAN Yu-bo; LOU Qun; QIU Da-wei

doi:10.3969/j.issn.0372-2112.2014.05.029

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Multi-Objective Neuro-Space Mapping Algorithm and Its Application to Optimal Design of Microstrip Filter

更新时间：2025-07-16

- Multi-Objective Neuro-Space Mapping Algorithm and Its Application to Optimal Design of Microstrip Filter
- Acta Electronica Sinica Vol. 42, Issue 5, Pages: 1014-1019(2014)
- 作者机构：
  
  江苏科技大学电子信息学院,江苏,镇江,212003
- 作者简介：
- 基金信息：
  
  National Defence Science and Technology Pre-research Foundation for Ship Industry (No.10J35.2);Blue Project: Priority Academic Program Development of Jiangsu Higher Education Institutions
- DOI：10.3969/j.issn.0372-2112.2014.05.029
  CLC： TN802
- Published：2014
- 稿件说明：
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TIAN Yu-bo, LOU Qun, QIU Da-wei. Multi-Objective Neuro-Space Mapping Algorithm and Its Application to Optimal Design of Microstrip Filter[J]. Acta Electronica Sinica, 2014, 42(5): 1014-1019.
DOI：

TIAN Yu-bo, LOU Qun, QIU Da-wei. Multi-Objective Neuro-Space Mapping Algorithm and Its Application to Optimal Design of Microstrip Filter[J]. Acta Electronica Sinica, 2014, 42(5): 1014-1019. DOI： 10.3969/j.issn.0372-2112.2014.05.029.

摘要

提出了一种多目标形式的空间映射算法，并将其应用于微带滤波器的优化设计问题.该算法没有采用ADS仿真软件进行粗糙模型的计算，而是采用多目标粒子群算法结合矩阵数值计算的形式，优化计算微带线的S参数，并应用神经网络映射粗糙模型与精确模型的仿真结果，由粗糙模型和神经网络推测出精确模型的帕累托最优解集.

Abstract

Multi-Objective Space-Mapping is proposed.Furthermore

it is applied to the optimal design of microstrip filter.Instead of using ADS software

a method combining Multi-Objective particle swarm optimization with the Matrix theory is used to simulate S parameters of coarse model

and then artificial neural network (ANN) is used to map the coarse model to fine model.Together with coarse model and ANN

Fine model’s Pareto optimal set can be achieved.

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