Evolutionary Algorithms Applied to Antennas and Propagation: A Review of State of the Art
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,...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2016-01-01
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| Series: | International Journal of Antennas and Propagation |
| Online Access: | http://dx.doi.org/10.1155/2016/1010459 |
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| _version_ | 1850221918000513024 |
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| author | Sotirios K. Goudos Christos Kalialakis Raj Mittra |
| author_facet | Sotirios K. Goudos Christos Kalialakis Raj Mittra |
| author_sort | Sotirios K. Goudos |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-71bebfc986e245c1a02719a092cc7917 |
| institution | OA Journals |
| issn | 1687-5869 1687-5877 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Antennas and Propagation |
| spelling | doaj-art-71bebfc986e245c1a02719a092cc79172025-08-20T02:06:32ZengWileyInternational Journal of Antennas and Propagation1687-58691687-58772016-01-01201610.1155/2016/10104591010459Evolutionary Algorithms Applied to Antennas and Propagation: A Review of State of the ArtSotirios K. Goudos0Christos Kalialakis1Raj Mittra2Radiocommunications Laboratory, Aristotle University of Thessaloniki, 54124 Thessaloniki, GreeceCentre Tecnologic de Telecomunicacions de Catalunya-CTTC, Castelldefels, 08860 Barcelona, SpainDepartment of Electrical and Computer Engineering, University of Central Florida, Orlando, FL 32816, USAA 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.http://dx.doi.org/10.1155/2016/1010459 |
| spellingShingle | Sotirios K. Goudos Christos Kalialakis Raj Mittra Evolutionary Algorithms Applied to Antennas and Propagation: A Review of State of the Art International Journal of Antennas and Propagation |
| title | Evolutionary Algorithms Applied to Antennas and Propagation: A Review of State of the Art |
| title_full | Evolutionary Algorithms Applied to Antennas and Propagation: A Review of State of the Art |
| title_fullStr | Evolutionary Algorithms Applied to Antennas and Propagation: A Review of State of the Art |
| title_full_unstemmed | Evolutionary Algorithms Applied to Antennas and Propagation: A Review of State of the Art |
| title_short | Evolutionary Algorithms Applied to Antennas and Propagation: A Review of State of the Art |
| title_sort | evolutionary algorithms applied to antennas and propagation a review of state of the art |
| url | http://dx.doi.org/10.1155/2016/1010459 |
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