Optimization designs in patch antennas using nature-inspired metaheuristic algorithms: A review

Danilo Fernando Poveda-Pulla; Jefferson Vicente Dominguez-Paute; Luis Fernando Guerrero-Vasquez; Paul Andres Chasi-Pesantez; Jorge Osmani Ordonez-Ordonez; Paul Esteban Vintimilla-Tapia

doi:10.1109/ARGENCON.2018.8646110

Optimization designs in patch antennas using nature-inspired metaheuristic algorithms: A review

Danilo Fernando Poveda-Pulla
, Jefferson Vicente Dominguez-Paute
, Luis Fernando Guerrero-Vasquez
, Paul Andres Chasi-Pesantez
, Jorge Osmani Ordonez-Ordonez
, Paul Esteban Vintimilla-Tapia

Grupo de Investigación en Telecomunicaciones y Telemática (GITEL)

Producción científica: Contribución a una conferencia › Capítulo

8 Citas (Scopus)

Resumen

In this article we present a general review of nature-inspired metaheuristic algorithms with implementations in patch antenna designs. The primary focus is on Genetic Algorithm (GA), Differential Evolution (DE), Particle Swarm Optimization (PSO), Bacterial Foraging Optimization (BFO). New algorithms recently been introduced also are analyzed, such as: Firefly algorithm (FA), Cuckoo Search (CS), Bat algorithm (BA), Social Spider Optimization (SSO) and Spider Monkey Optimization (SMO). Of each algorithm, a summary of significant examples and a flowchart for a quick and easy interpretation are presented. Finally, the common characteristics of algorithms are compared, concluding in a hierarchical classification according to the efficiency of each one to solve the patch antenna problems.

Idioma original	Inglés estadounidense
DOI	https://doi.org/10.1109/ARGENCON.2018.8646110
Estado	Publicada - 20 feb. 2019
Evento	2018 IEEE Biennial Congress of Argentina, ARGENCON 2018 - San Miguel de Tucuman, Argentina Duración: 6 jun. 2018 → 8 jun. 2018

Conferencia

Conferencia	2018 IEEE Biennial Congress of Argentina, ARGENCON 2018
Título abreviado	ARGENCON 2018
País/Territorio	Argentina
Ciudad	San Miguel de Tucuman
Período	6/06/18 → 8/06/18

Areas de Conocimiento del CACES

8417A Telecomunicaciones

Acceder al documento

10.1109/ARGENCON.2018.8646110

Otros archivos y enlaces

Diseño, Construcción y Prueba de Antenas Fractales y de Ultra Ancho de Banda
Chasi Pesantez, P. A. (Investigador principal) & Guerrero Vasquez, L. F. (Investigador Secundario)
26/10/17 → 1/07/21
Proyecto: Investigación y Desarrollo

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Poveda-Pulla, D. F., Vicente Dominguez-Paute, J., Guerrero-Vasquez, L. F., Andres Chasi-Pesantez, P., Ordonez-Ordonez, J. O., & Esteban Vintimilla-Tapia, P. (2019). Optimization designs in patch antennas using nature-inspired metaheuristic algorithms: A review. 2018 IEEE Biennial Congress of Argentina, ARGENCON 2018, San Miguel de Tucuman, Argentina. https://doi.org/10.1109/ARGENCON.2018.8646110

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title = "Optimization designs in patch antennas using nature-inspired metaheuristic algorithms: A review",

abstract = "In this article we present a general review of nature-inspired metaheuristic algorithms with implementations in patch antenna designs. The primary focus is on Genetic Algorithm (GA), Differential Evolution (DE), Particle Swarm Optimization (PSO), Bacterial Foraging Optimization (BFO). New algorithms recently been introduced also are analyzed, such as: Firefly algorithm (FA), Cuckoo Search (CS), Bat algorithm (BA), Social Spider Optimization (SSO) and Spider Monkey Optimization (SMO). Of each algorithm, a summary of significant examples and a flowchart for a quick and easy interpretation are presented. Finally, the common characteristics of algorithms are compared, concluding in a hierarchical classification according to the efficiency of each one to solve the patch antenna problems.",

keywords = "Algorithm, Metaheur{\'i}stic, Nature-Inspired, Optimization, Patch Antenna",

author = "Poveda-Pulla, \{Danilo Fernando\} and \{Vicente Dominguez-Paute\}, Jefferson and Guerrero-Vasquez, \{Luis Fernando\} and \{Andres Chasi-Pesantez\}, Paul and Ordonez-Ordonez, \{Jorge Osmani\} and \{Esteban Vintimilla-Tapia\}, Paul",

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month = feb,

day = "20",

doi = "10.1109/ARGENCON.2018.8646110",

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Poveda-Pulla, DF, Vicente Dominguez-Paute, J, Guerrero-Vasquez, LF , Andres Chasi-Pesantez, P , Ordonez-Ordonez, JO & Esteban Vintimilla-Tapia, P 2019, 'Optimization designs in patch antennas using nature-inspired metaheuristic algorithms: A review', 2018 IEEE Biennial Congress of Argentina, ARGENCON 2018, San Miguel de Tucuman, Argentina, 6/06/18 - 8/06/18. https://doi.org/10.1109/ARGENCON.2018.8646110

Optimization designs in patch antennas using nature-inspired metaheuristic algorithms: A review. / Poveda-Pulla, Danilo Fernando; Vicente Dominguez-Paute, Jefferson; Guerrero-Vasquez, Luis Fernando et al.
2019. 2018 IEEE Biennial Congress of Argentina, ARGENCON 2018, San Miguel de Tucuman, Argentina.

Producción científica: Contribución a una conferencia › Capítulo

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AU - Poveda-Pulla, Danilo Fernando

AU - Vicente Dominguez-Paute, Jefferson

AU - Guerrero-Vasquez, Luis Fernando

AU - Andres Chasi-Pesantez, Paul

AU - Ordonez-Ordonez, Jorge Osmani

AU - Esteban Vintimilla-Tapia, Paul

PY - 2019/2/20

Y1 - 2019/2/20

N2 - In this article we present a general review of nature-inspired metaheuristic algorithms with implementations in patch antenna designs. The primary focus is on Genetic Algorithm (GA), Differential Evolution (DE), Particle Swarm Optimization (PSO), Bacterial Foraging Optimization (BFO). New algorithms recently been introduced also are analyzed, such as: Firefly algorithm (FA), Cuckoo Search (CS), Bat algorithm (BA), Social Spider Optimization (SSO) and Spider Monkey Optimization (SMO). Of each algorithm, a summary of significant examples and a flowchart for a quick and easy interpretation are presented. Finally, the common characteristics of algorithms are compared, concluding in a hierarchical classification according to the efficiency of each one to solve the patch antenna problems.

AB - In this article we present a general review of nature-inspired metaheuristic algorithms with implementations in patch antenna designs. The primary focus is on Genetic Algorithm (GA), Differential Evolution (DE), Particle Swarm Optimization (PSO), Bacterial Foraging Optimization (BFO). New algorithms recently been introduced also are analyzed, such as: Firefly algorithm (FA), Cuckoo Search (CS), Bat algorithm (BA), Social Spider Optimization (SSO) and Spider Monkey Optimization (SMO). Of each algorithm, a summary of significant examples and a flowchart for a quick and easy interpretation are presented. Finally, the common characteristics of algorithms are compared, concluding in a hierarchical classification according to the efficiency of each one to solve the patch antenna problems.

KW - Algorithm

KW - Metaheurístic

KW - Nature-Inspired

KW - Optimization

KW - Patch Antenna

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UR - http://www.mendeley.com/research/optimization-designs-patch-antennas-using-natureinspired-metaheuristic-algorithms-review

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M3 - Chapter

T2 - 2018 IEEE Biennial Congress of Argentina, ARGENCON 2018

Y2 - 6 June 2018 through 8 June 2018

ER -

Optimization designs in patch antennas using nature-inspired metaheuristic algorithms: A review

Resumen

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Proyectos

Diseño, Construcción y Prueba de Antenas Fractales y de Ultra Ancho de Banda

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