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

  • Authors

    • Jeevani Jayasinghe Wayamba university of Sri Lanka
    • Jaume Anguera UniUniversitat Ramon LLull
    • Disala Uduwawala University of Peradeniya
    2015-02-09
    https://doi.org/10.14419/ijsw.v3i1.4132
  • Broadband Antenna, Fitness, Genetic Algorithms, Microstrip Patch Antennas, Optimization.

  • 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.

    Author Biography

    • Jeevani Jayasinghe, Wayamba university of Sri Lanka
      Lecturer, Dept of Electronics

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  • How to Cite

    Jayasinghe, J., Anguera, J., & Uduwawala, D. (2015). On the behavior of several fitness functions for genetically optimized microstrip antennas. International Journal of Scientific World, 3(1), 53-58. https://doi.org/10.14419/ijsw.v3i1.4132

    Received date: 2015-01-07

    Accepted date: 2015-02-02

    Published date: 2015-02-09