Browsing by Author "Jayasinghe, Jeevani"

Now showing items 1-4 of 4

    • Design of Dual Band Patch Antennas for Cellular Communications by Genetic Algorithm Optimization 

      Jayasinghe, Jeevani; Uduwawala, Disala; Anguera Pros, Jaume (International Journal of Engineering and Technology, 2012, Vol. 1, 1, 2012)
      Designing multiband antennas with low volume becomes of practical interest for mobile telecommunications. This paper presents the designs of five small dual band patch antennas for GSM 1800 (1710-1880MHz) ...

    • Fractal Antennas: An Historical Perspective 

      Anguera Pros, Jaume; Andújar Linares, Aurora; Jayasinghe, Jeevani; Chakravarthy, V.S.S.S.; Chowdary, P.S.R.; Pijoan Vidal, Joan Lluís; Ali, Tanweer; Cattani, Carlo (Fractal and Fractional, 2020, Vol. 4, No 1, 2020-01)
      Fractal geometry has been proven to be useful in several disciplines. In the field of antennaengineering, fractal geometry is useful to design small and multiband antenna and arrays, andhigh-directive ...

    • Nonuniform Overlapping Method in Designing Microstrip Patch Antennas Using Genetic Algorithm Optimization 

      Jayasinghe, Jeevani; Anguera Pros, Jaume; Uduwawala, Disala; Andújar Linares, Aurora (International Journal of Antennas and Propagation. 2015, 2015-01)
      Genetic algorithm (GA) has been a popular optimization technique used for performance improvement of microstrip patch antennas (MPAs).When using GA, the patch geometry is optimized by dividing the patch ...

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

      Jayasinghe, Jeevani; Anguera Pros, Jaume; Uduwawala, Disala (International Journal of Scientific World, 2015. Vol. 3, 1, 2015)
      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 ...