DocumentCode
673486
Title
Electromagnetic design optimization using mixed-parameter and multiobjective CMA-ES
Author
BouDaher, Elie ; Hoorfar, Ahmad
Author_Institution
Dept. of Electr. & Comput. Eng., Villanova Univ., Villanova, PA, USA
fYear
2013
fDate
7-13 July 2013
Firstpage
406
Lastpage
407
Abstract
In this paper, new variations of Covariance Matrix Adaptation Evolution Strategy (CMA-ES) are investigated for optimization of electromagnetic design problems. Two variations of the CMA-ES algorithm are presented: mixed-parameter CMA-ES and multiobjective CMA-ES. Examples and results are provided to evaluate the performance of these algorithms.
Keywords
covariance matrices; electromagnetic wave propagation; genetic algorithms; covariance matrix adaptation evolution strategy; electromagnetic design optimization; mixed-parameter; multiobjective CMA-ES; Algorithm design and analysis; Covariance matrices; Electromagnetics; Evolutionary computation; Genetic algorithms; Linear programming; Optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Antennas and Propagation Society International Symposium (APSURSI), 2013 IEEE
Conference_Location
Orlando, FL
ISSN
1522-3965
Print_ISBN
978-1-4673-5315-1
Type
conf
DOI
10.1109/APS.2013.6710864
Filename
6710864
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