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oai:recercat.cat:20.500.14342/33712025-05-15T03:54:54Zcom_2072_482405com_2072_183628col_2072_482415

On the behavior of several fitness functions for genetically optimized microstrip antennas Jayasinghe, Jeevani Anguera Pros, Jaume Uduwawala, Disala Universitat Ramon Llull. La Salle Wayamba University of Sri Lanka University of Peradeniya Telefonia mòbil Comunicacions mòbils, Sistemes de Antenes (Electrònica) 621.3 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. 2015 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.14342/3371 htpps://doi.org/10.14419/ijsw.v3i1.4132 eng International Journal of Scientific World, 2015. Vol. 3, 1 Attribution 4.0 International © L'autor/a http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess 6 p. Science Publishing Corporation