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International Journal of Antennas and Propagation
Volume 2016, Article ID 1010459, 12 pages
http://dx.doi.org/10.1155/2016/1010459
Review Article

Evolutionary Algorithms Applied to Antennas and Propagation: A Review of State of the Art

1Radiocommunications Laboratory, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
2Centre Tecnologic de Telecomunicacions de Catalunya-CTTC, Castelldefels, 08860 Barcelona, Spain
3Department of Electrical and Computer Engineering, University of Central Florida, Orlando, FL 32816, USA
4King Abdulaziz University, Jeddah 21589, Saudi Arabia

Received 16 May 2016; Accepted 11 July 2016

Academic Editor: Jaume Anguera

Copyright © 2016 Sotirios K. Goudos et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

A review of evolutionary algorithms (EAs) with applications to antenna and propagation problems is presented. EAs have emerged as viable candidates for global optimization problems and have been attracting the attention of the research community interested in solving real-world engineering problems, as evidenced by the fact that very large number of antenna design problems have been addressed in the literature in recent years by using EAs. In this paper, our primary focus is on Genetic Algorithms (GAs), Particle Swarm Optimization (PSO), and Differential Evolution (DE), though we also briefly review other recently introduced nature-inspired algorithms. An overview of case examples optimized by each family of algorithms is included in the paper.