Fast Optimization of Electromagnetic Design Problems Using the Covariance Matrix Adaptation Evolutionary Strategy

A new method of optimization recently made popular in the evolutionary computation (EC) community is introduced and applied to several electromagnetics design problems. First, a functional overview of the covariance matrix adaptation evolutionary strategy (CMA-ES) is provided. Then, CMA-ES is critiq...

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Veröffentlicht in:	IEEE transactions on antennas and propagation Jg. 59; H. 4; S. 1275 - 1285
Hauptverfasser:	Gregory, M D, Bayraktar, Z, Werner, D H
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY IEEE 01.04.2011 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Adaptation Algorithm design and analysis Algorithms Antennas Applied classical electromagnetism Applied sciences Arrays Communities Covariance matrix Covariance matrix adaptation Electromagnetic wave propagation, radiowave propagation Electromagnetics Electromagnetism; electron and ion optics Evolutionary evolutionary strategy Exact sciences and technology Fundamental areas of phenomenology (including applications) microstrip antennas Optimization optimization algorithm particle swarm optimization Physics Radiocommunications self-adaptive stacked patch antenna Strategy Studies Telecommunications Telecommunications and information theory Ultrawideband Performance evaluation Electromagnetism Covariance matrix adaptation Evolutionary computation Printed antenna self-adaptive optimization algorithm microstrip antennas Broadband antennas Covariance matrices Particle swarm optimization Ultra wide band Constant modulus algorithm evolutionary strategy stacked patch antenna Reviews Biomimetics Antenna array
ISSN:	0018-926X, 1558-2221
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Beschreibung
Zusammenfassung:	A new method of optimization recently made popular in the evolutionary computation (EC) community is introduced and applied to several electromagnetics design problems. First, a functional overview of the covariance matrix adaptation evolutionary strategy (CMA-ES) is provided. Then, CMA-ES is critiqued alongside a conventional particle swarm optimization (PSO) algorithm via the design of a wideband stacked-patch antenna. Finally, the two algorithms are employed for the design of small to moderate size aperiodic ultrawideband antenna array layouts (up to 100 elements). The results of the two electromagnetics design problems illustrate the ability of CMA-ES to provide a robust, fast and user-friendly alternative to more conventional optimization strategies such as PSO. Moreover, the ultrawideband array designs that were created using CMA-ES are seen to exhibit performances surpassing the best examples that have been reported in recent literature.
Bibliographie:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 ObjectType-Article-2 ObjectType-Feature-1 content type line 23
ISSN:	0018-926X 1558-2221
DOI:	10.1109/TAP.2011.2109350