A Genetic Algorithm for Satellite Antennas

What is known as the Darwin Theory of Evolution is a
simple principle: species evolve by means of random
changes and natural selection to adapt to a specific
environment. The basic idea behind Genetic Algorithms
(GA) is to imitate the way in which nature works in
order to design a system with desired characteristics
(the environment). This book gives an introduction to
GA and describes how to implement a GA-based
optimisation method to design a complex antenna for
satellite applications. It''s the perfect initiation
to mathematical optimisation and GA for any antenna
engineer, with a wide review of optimisation methods,
a practical example of GA implementation, and a rich
appendix with Matlab code.

Autorentext
Marco Forzati holds a MSc degree from Politecnico di Milano,
Italy and a PhD degree from Chalmers University of Technology,
Sweden, both in Electrical Engineering. He currently is senior
scientist at research firm Acreo AB in Stockholm, where he works
on fibre-optic transmission and on the economic impact of
telecommunications technologies.