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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| Vydané v: | International Conference on Numerical Electromagnetic Modeling and Optimization for RF, Microwave, and Terahertz Applications (Online) Ročník 1; s. 1 - 3 |
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| Hlavní autori: | , , , |
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| Jazyk: | English |
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IEEE
29.07.2025
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| ISSN: | 2575-4769 |
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| Abstract | 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 design process. In addition, the convergence of the MOEA/D algorithm is improved by adding extreme value optimization and modifying the individual selection, mutation probability, boundary optimization strategy and replacing the crossover operation in the differential evolution (DE) algorithm with the simulated binary crossover (SBX). The efficiency of the proposed method is verified by a planar microstrip bandpass filter. |
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| AbstractList | 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 design process. In addition, the convergence of the MOEA/D algorithm is improved by adding extreme value optimization and modifying the individual selection, mutation probability, boundary optimization strategy and replacing the crossover operation in the differential evolution (DE) algorithm with the simulated binary crossover (SBX). The efficiency of the proposed method is verified by a planar microstrip bandpass filter. |
| Author | Li, Kun-Lai Zhang, Lu Zhang, Yongliang Wang, Zeyu |
| Author_xml | – sequence: 1 givenname: Zeyu surname: Wang fullname: Wang, Zeyu organization: School of Transportation Institute, Inner Mongolia University,Hohhot,China,010024 – sequence: 2 givenname: Lu surname: Zhang fullname: Zhang, Lu organization: School of Transportation Institute, Inner Mongolia University,Hohhot,China,010024 – sequence: 3 givenname: Kun-Lai surname: Li fullname: Li, Kun-Lai organization: School of Electronic Information Engineering, Inner Mongolia University,Hohhot,China,010021 – sequence: 4 givenname: Yongliang surname: Zhang fullname: Zhang, Yongliang organization: School of Transportation Institute, Inner Mongolia University,Hohhot,China,010024 |
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| Snippet | A one-dimensional convolutional autoencoder (1D-CAE) assisted improved decomposition-based multiobjective differential evolution (IMODEA/D) algorithm is... |
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| SubjectTerms | 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 |
| Title | Efficient Microstrip Bandpass Filter Design by a Surrogate-Model-Assisted Improved Decomposition-Based Multi-Objective Differential Evolution Algorithm |
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