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On the behavior of several fitness functions for genetically optimized microstrip antennas

To access the full text documents, please follow this link: https://hdl.handle.net/20.500.14342/3371

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

2015



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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.

Document Type

Article

Published version

Language

English

CDU Subject

Subjects and keywords

Telefonia mòbil; Comunicacions mòbils, Sistemes de; Antenes (Electrònica)

Pages

6 p.

Publisher

Science Publishing Corporation

Published in

International Journal of Scientific World, 2015. Vol. 3, 1

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Rights

Attribution 4.0 International

Attribution 4.0 International

© L'autor/a

This item appears in the following Collection(s)

La Salle [1097]