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
Publication date
2015Abstract
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.
Document Type
Article
Published version
Language
English
Subject (CDU)
621.3 Electrical engineering
Keywords
Telefonia mòbil
Comunicacions mòbils, Sistemes de
Antenes (Electrònica)
Pages
6 p.
Publisher
Science Publishing Corporation
Is part of
International Journal of Scientific World, 2015. Vol. 3, 1
This item appears in the following Collection(s)
Rights
© L'autor/a
Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by/4.0/
