Multi-objective design of miniaturized impedance transformers by domain segmentation

Sławomir Kozieł; Adrian Bekasiewicz; Qingsha Cheng; Qingfu Zhang

doi:10.1109/nemo.2017.7964182

Multi-objective design of miniaturized impedance transformers by domain segmentation

Abstract

Fast multi-objective design optimization of compact microstrip impedance transformers is discussed. Our approach exploits approximation models constructed using sampled coarse- mesh EM simulation data in a partitioned design space and response correction techniques for design refinement. Demonstra

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Authors (4)

Sławomir Kozieł prof. dr inż.
Adrian Bekasiewicz dr hab. inż.
Qingsha Cheng
- Southern University of Science and Technology
Qingfu Zhang
- Southern University of Science and Technology

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Category:: Conference activity
Type:: publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
Title of issue:: 2017 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization for RF, Microwave, and Terahertz Applications (NEMO) strony 46 - 48
Language:: English
Publication year:: 2017
Bibliographic description:: Kozieł S., Bekasiewicz A., Cheng Q., Zhang Q.: Multi-objective design of miniaturized impedance transformers by domain segmentation// 2017 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization for RF, Microwave, and Terahertz Applications (NEMO)/ : , 2017, s.46-48
DOI:: Digital Object Identifier (open in new tab) 10.1109/nemo.2017.7964182
Verified by:: Gdańsk University of Technology