Design of Wire Antennas by Using an Evolved Particle Swarm Optimization Algorithm

A. Rogovich; C. Marasini; A. Monorchio; E.S.A.M. Lepelaars; A.P.M. Zwamborn

doi:10.1109/ICEAA.2007.4387271

Design of Wire Antennas by Using an Evolved Particle Swarm Optimization Algorithm

A. Rogovich, C. Marasini, A. Monorchio, E.S.A.M. Lepelaars, A.P.M. Zwamborn

Electromagnetics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

8 Citations (Scopus)

Abstract

A particle swarm optimization (PSO) algorithm has been used in conjunction with a full-wave numerical code based on the method of moments (MoM) to design and optimize wire antennas. The PSO is a robust stochastic evolutionary numerical technique that is very effective in optimizing multidimensional problems. The goal of the present work is to design wire antennas operating in a wide frequency range with a high gain level. A modified PSO algorithm will be presented in order to increase the efficiency in terms of convergence.

Original language	English
Title of host publication	Proceeding of the 2007 International Conference on Electromagnetics in Advanced Applications (ICEAA 2007) 17-21 September 2007, Torino, Italy
Editors	R.D. Graglia
Place of Publication	Torino, Italy
Publisher	Politecnico di Torino
Pages	1-4
ISBN (Print)	978-1-424-40766-8
DOIs	https://doi.org/10.1109/ICEAA.2007.4387271
Publication status	Published - 2007
Event	10th International Conference on Electromagnetics in Advanced Applications (ICEAA 2007) - Torino, Italy Duration: 17 Sep 2007 → 21 Sep 2007 Conference number: 10

Conference

Conference	10th International Conference on Electromagnetics in Advanced Applications (ICEAA 2007)
Abbreviated title	ICEAA 2007
Country/Territory	Italy
City	Torino
Period	17/09/07 → 21/09/07

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10.1109/ICEAA.2007.4387271

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Rogovich, A., Marasini, C., Monorchio, A., Lepelaars, E. S. A. M., & Zwamborn, A. P. M. (2007). Design of Wire Antennas by Using an Evolved Particle Swarm Optimization Algorithm. In R. D. Graglia (Ed.), Proceeding of the 2007 International Conference on Electromagnetics in Advanced Applications (ICEAA 2007) 17-21 September 2007, Torino, Italy (pp. 1-4). Politecnico di Torino. https://doi.org/10.1109/ICEAA.2007.4387271

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title = "Design of Wire Antennas by Using an Evolved Particle Swarm Optimization Algorithm",

abstract = "A particle swarm optimization (PSO) algorithm has been used in conjunction with a full-wave numerical code based on the method of moments (MoM) to design and optimize wire antennas. The PSO is a robust stochastic evolutionary numerical technique that is very effective in optimizing multidimensional problems. The goal of the present work is to design wire antennas operating in a wide frequency range with a high gain level. A modified PSO algorithm will be presented in order to increase the efficiency in terms of convergence.",

author = "A. Rogovich and C. Marasini and A. Monorchio and E.S.A.M. Lepelaars and A.P.M. Zwamborn",

year = "2007",

doi = "10.1109/ICEAA.2007.4387271",

language = "English",

isbn = "978-1-424-40766-8",

pages = "1--4",

editor = "R.D. Graglia",

booktitle = "Proceeding of the 2007 International Conference on Electromagnetics in Advanced Applications (ICEAA 2007) 17-21 September 2007, Torino, Italy",

publisher = "Politecnico di Torino",

note = "10th International Conference on Electromagnetics in Advanced Applications (ICEAA 2007), ICEAA 2007 ; Conference date: 17-09-2007 Through 21-09-2007",

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Rogovich, A, Marasini, C, Monorchio, A, Lepelaars, ESAM & Zwamborn, APM 2007, Design of Wire Antennas by Using an Evolved Particle Swarm Optimization Algorithm. in RD Graglia (ed.), Proceeding of the 2007 International Conference on Electromagnetics in Advanced Applications (ICEAA 2007) 17-21 September 2007, Torino, Italy. Politecnico di Torino, Torino, Italy, pp. 1-4, 10th International Conference on Electromagnetics in Advanced Applications (ICEAA 2007), Torino, Italy, 17/09/07. https://doi.org/10.1109/ICEAA.2007.4387271

Design of Wire Antennas by Using an Evolved Particle Swarm Optimization Algorithm. / Rogovich, A.; Marasini, C.; Monorchio, A. et al.

Proceeding of the 2007 International Conference on Electromagnetics in Advanced Applications (ICEAA 2007) 17-21 September 2007, Torino, Italy. ed. / R.D. Graglia. Torino, Italy : Politecnico di Torino, 2007. p. 1-4.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Zwamborn, A.P.M.

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N2 - A particle swarm optimization (PSO) algorithm has been used in conjunction with a full-wave numerical code based on the method of moments (MoM) to design and optimize wire antennas. The PSO is a robust stochastic evolutionary numerical technique that is very effective in optimizing multidimensional problems. The goal of the present work is to design wire antennas operating in a wide frequency range with a high gain level. A modified PSO algorithm will be presented in order to increase the efficiency in terms of convergence.

AB - A particle swarm optimization (PSO) algorithm has been used in conjunction with a full-wave numerical code based on the method of moments (MoM) to design and optimize wire antennas. The PSO is a robust stochastic evolutionary numerical technique that is very effective in optimizing multidimensional problems. The goal of the present work is to design wire antennas operating in a wide frequency range with a high gain level. A modified PSO algorithm will be presented in order to increase the efficiency in terms of convergence.

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DO - 10.1109/ICEAA.2007.4387271

M3 - Conference contribution

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BT - Proceeding of the 2007 International Conference on Electromagnetics in Advanced Applications (ICEAA 2007) 17-21 September 2007, Torino, Italy

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Rogovich A, Marasini C, Monorchio A, Lepelaars ESAM, Zwamborn APM. Design of Wire Antennas by Using an Evolved Particle Swarm Optimization Algorithm. In Graglia RD, editor, Proceeding of the 2007 International Conference on Electromagnetics in Advanced Applications (ICEAA 2007) 17-21 September 2007, Torino, Italy. Torino, Italy: Politecnico di Torino. 2007. p. 1-4 doi: 10.1109/ICEAA.2007.4387271

Design of Wire Antennas by Using an Evolved Particle Swarm Optimization Algorithm

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