Use this identifier to quote or link this document: http://hdl.handle.net/2072/374883

Title:	On the behavior of several fitness functions for genetically optimized microstrip antennas
Author:	Jayasinghe, Jeevani; Anguera Pros, Jaume; Uduwawala, Disala
Other authors:	Universitat Ramon Llull. La Salle; Wayamba University of Sri Lanka; University of Peradeniya
Abstract:	Genetic algorithm (GA) is a popular optimization technique used in the design of performance improved microstrip patch antennas (MPAs). The fitness function plays a vital role in the successful application of GA in MPAs. This paper investigates the performance of several fitness functions for achieving bandwidth improved MPAs.
Publication date:	2015
Subject (UDC):	621.3 - Ingeniería eléctrica. Electrotecnia. Telecomunicaciones
Subject(s):	Telefonia mòbil Comunicacions mòbils, Sistemes de Antenes (Electrònica)
Rights:	L'accés als continguts d'aquest document queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons:http://creativecommons.org/licenses/by/4.0/ © L'autor/a
Pages:	6 p.
Document type:	Article Article - Published version
DOI:	http://doi.org/ 10.14419/ijsw.v3i1.4132
Published by:	Science Publishing Corporation
Publish at:	International Journal of Scientific World, 2015. Vol. 3, 1
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