Efficient Microstrip Bandpass Filter Design by a Surrogate-Model-Assisted Improved Decomposition-Based Multi-Objective Differential Evolution Algorithm

A one-dimensional convolutional autoencoder (1D-CAE) assisted improved decomposition-based multiobjective differential evolution (IMODEA/D) algorithm is proposed for electromagnetic (EM) optimization in microstrip bandpass filter design. The 1D-CAE is employed as a surrogate model to accelerate the...

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Veröffentlicht in:	International Conference on Numerical Electromagnetic Modeling and Optimization for RF, Microwave, and Terahertz Applications (Online) Jg. 1; S. 1 - 3
Hauptverfasser:	Wang, Zeyu, Zhang, Lu, Li, Kun-Lai, Zhang, Yongliang
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 29.07.2025
Schlagworte:	Autoencoders Band-pass filters Convergence Electromagnetic (EM) optimization Electromagnetics microstrip bandpass filter design Microstrip filters multi-objective optimization algorithm Multiphysics Numerical models Optimization surrogate model
ISSN:	2575-4769
Online-Zugang:	Volltext
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