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Bio-inspired Computing Techniques and their Applications in Antennas
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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.
BENTHAM SCIENCE PUBLISHERS
Title: Bio-inspired Computing Techniques and their Applications in Antennas
Description:
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.
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