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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Bibliographic Details
Published in:IEEE transactions on antennas and propagation Vol. 59; no. 4; pp. 1275 - 1285
Main Authors: Gregory, M D, Bayraktar, Z, Werner, D H
Format: Journal Article
Language:English
Published: New York, NY IEEE 01.04.2011
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
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
Online Access:Get full text
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Description
Summary: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.
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ISSN:0018-926X
1558-2221
DOI:10.1109/TAP.2011.2109350