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

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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 originalInglés estadounidense
DOI
EstadoPublicada - 20 feb. 2019
Evento2018 IEEE Biennial Congress of Argentina, ARGENCON 2018 - San Miguel de Tucuman, Argentina
Duración: 6 jun. 20188 jun. 2018

Conferencia

Conferencia2018 IEEE Biennial Congress of Argentina, ARGENCON 2018
Título abreviadoARGENCON 2018
País/TerritorioArgentina
CiudadSan Miguel de Tucuman
Período6/06/188/06/18

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