A Genetic Algorithm for Satellite Antennas
Direct Optimisation for the Design of Complex AntennaStructures
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What is known as the Darwin Theory of Evolution is asimple principle: species evolve by means of randomchanges and natural selection to adapt to a specificenvironment. The basic idea behind Genetic Algorithms(GA) is to imitate the way in which nature works inorder to design a system with desired characteristics(the environment). This book gives an introduction toGA and describes how to implement a GA-basedoptimisation method to design a complex antenna forsatellite applications. It''s the perfect initiationto mathematical optimisation and GA for any antennaengineer, with a wide review of optim...
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.
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.
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