Fractal Antenna Design using Bio-inspired Computing Algorithms

Bio-inspired Computing Techniques and their Applications in Antennas

Author(s): Balwinder S. Dhaliwal*, Suman Pattnaik* and Shyam Sundar Pattnaik *

Pp: 28-66 (39)

DOI: 10.2174/9789815136357123010005

* (Excluding Mailing and Handling)

Abstract

This chapter is dedicated to bio-inspired computing techniques and their applications in antennas. The working principles of ANN, ANN Ensemble, GA, PSO, and BFO are described, and some hybrid bio-inspired computing techniques are also discussed. The literature survey related to the applications of bio-inspired computing optimization techniques in antennas is given in this chapter. The limitations of the existing bio-inspired computing techniques are highlighted. The existing applications of bio-inspired computing techniques in fractal antennas are also reviewed in this chapter.


Keywords: Bacterial foraging optimization, Fractal antenna, Genetic algorithms, Particle swarm optimization, Sierpinski gasket.

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