One of the novel contributions of this book is the development of hybrid
bio-inspired computing algorithms for the design of fractal antennas. This work is
presented in this chapter. The hybrid algorithms are developed to design the proposed
fractal antennas for desired frequencies. The performance comparison of bio-inspired
computing algorithms for the design of a multiband Sierpinski Gasket fractal antenna is
also explained. The development of various hybrid algorithms like the GA-ANN
hybrid Algorithm, BFO-ANN ensemble hybrid Algorithm, and PSO-ANN Ensemble
hybrid Algorithm is explained. The use of ANN models as objective functions of
optimization algorithms is discussed in this chapter. This chapter also deals with the
experimental testing and validation of the developed fractal antennas. The photographs
of the fabricated antennas and the experimental results are included. The comparison of
the simulated results and experimental results is discussed. The suitability of the
designed antennas for different applications is also highlighted in this chapter.
Keywords: Bacterial foraging optimization, Crown fractal antenna, Fractal antenna, Genetic algorithms, Miniaturized antenna, Particle swarm optimization, Sierpinski gasket.
