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Artificial neural networks for microwave computer-aided design: The state of the art
This article presents an overview of artificial neural network (ANN) techniques for a
microwave computer-aided design (CAD). ANN-based techniques are becoming useful for …
microwave computer-aided design (CAD). ANN-based techniques are becoming useful for …
State-of-the-art: AI-assisted surrogate modeling and optimization for microwave filters
Microwave filters are indispensable passive devices for modern wireless communication
systems. Nowadays, electromagnetic (EM) simulation-based design process is a norm for …
systems. Nowadays, electromagnetic (EM) simulation-based design process is a norm for …
Artificial neural network for dimensionality reduction and its application to microwave filters inverse modeling
The purpose of filters' inverse modeling is to acquire the values of physical or geometrical
parameters for the specified electrical response. In this article, a dimensionality reduction …
parameters for the specified electrical response. In this article, a dimensionality reduction …
A multi-fidelity surrogate modeling method based on variance-weighted sum for the fusion of multiple non-hierarchical low-fidelity data
Multi-fidelity (MF) surrogate models have been widely adopted in simulation-based
engineering design problems to reduce the computational cost by fusing data with diverse …
engineering design problems to reduce the computational cost by fusing data with diverse …
Feature and EM sensitivity co-assisted neuro-TF surrogate optimization for microwave filter design
Gradient-based surrogate optimization usually has a fast convergence capability. However,
it can be easily stuck in local minima, especially when the electromagnetic (EM) response of …
it can be easily stuck in local minima, especially when the electromagnetic (EM) response of …
Ensemble-learning-based multiobjective optimization for antenna design
An ensemble-learning-based multiobjective optimization is proposed for antenna design. By
integrating the local search into multiobjective evolutionary algorithm based on …
integrating the local search into multiobjective evolutionary algorithm based on …
Optimization Method Incorporating Equivalent Circuit Theory and Space Map** for Metamaterial Absorbers
Due to the pivotal role of metamaterial absorbers in enhancing electromagnetic (EM) wave
control and management, the optimization for metamaterial absorbers has garnered …
control and management, the optimization for metamaterial absorbers has garnered …
An efficient gradient-based hybrid parameter-topology optimization for antenna design
LL Wang, XS Yang, CJ Ma - IEEE Transactions on Antennas …, 2023 - ieeexplore.ieee.org
A gradient-based hybrid parameter-topology (HPT) method is proposed, which can optimize
the structural parameter and 2-D topology simultaneously. The 2-D topology is formed by the …
the structural parameter and 2-D topology simultaneously. The 2-D topology is formed by the …
Advanced surrogate-based EM optimization using complex frequency domain EM simulation-based neuro-TF model for microwave components
Surrogate-based electromagnetic (EM) optimization techniques have become popular for
microwave design. Neuro-transfer function (neuro-TF) is one of the effective surrogates to …
microwave design. Neuro-transfer function (neuro-TF) is one of the effective surrogates to …
Versatile unsupervised design of antennas using flexible parameterization and computational intelligence methods
Develo** contemporary antennas is a challenging endeavor that requires considerable
engineering insight. The most laborious stage is to devise an antenna architecture that …
engineering insight. The most laborious stage is to devise an antenna architecture that …