Differential Evolution Optimization Algorithm for Electromagnetic Device Design with High-dimensional Mixed Discrete-Continuous Variables

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

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Detail(s)

Original languageEnglish
Title of host publication2020 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2020
PublisherIEEE
ISBN (Electronic)9781728169668
ISBN (Print)9781728169675
Publication statusPublished - Dec 2020

Publication series

NameIEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO

Conference

Title2020 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO 2020)
LocationVirtual
PlaceChina
CityHangzhou
Period7 - 9 December 2020

Abstract

Optimization of electromagnetic device design with mixed discrete and continuous variables is a challenge, especially for those with high-dimensional discrete variables. An orthogonal adaptive discrete variable selection based differential evolution (OADVSDE) is proposed to solve such problems in this paper. Continuous variables use the canonical differential evolution algorithm to perform the genetic operations, while the discrete variables are processed mainly in two steps. The first step is conducted by using orthogonal experimental design to sample a small number of representative combinations. Then good combinations are given more chances to generate more promising offspring in the following generations. To verify its effectiveness, this algorithm is first tested on multi-objective benchmark suites. A design problem of five layers stacked dielectric resonator antenna which involves eight discrete variables with seven possible values for each discrete variable, is also considered. The relevant results show that OADVSDE is superior to the compared algorithm. It can be found that the proposed method is feasible for solving optimization problems with high-dimensional mixed discrete and continuous variables.

Research Area(s)

  • differential evolution, discrete-continuous variable, orthogonal experiment design, stacked dielectric resonator antenna

Citation Format(s)

Differential Evolution Optimization Algorithm for Electromagnetic Device Design with High-dimensional Mixed Discrete-Continuous Variables. / Wang, H. J.; Zhang, S. X.; Xiang, B. J.; Zheng, S. Y.

2020 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2020. IEEE, 2020. 9343663 (IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO).

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review