The problem of control of chaos has attracted the attention of
researchers and engineers, and many methods have been developed
since the early 1990's. The main aim of this book is to show that
evolutionary algorithms (EA) which is a powerful tool for almost
any difficult and complex optimization problem can be in reality be
used for the optimization of deterministic chaos control. This book
aims to show how to use EA and how to properly define the cost
function. It is also focused on the selection of control methods
and the explanation of all possible problems which arises in such a
difficult task of chaos control optimization. This book contains
examples of EA implementation to methods for chaos control for the
purpose of obtaining better results. This implies faster reaching
of desired state and superior stabilization, which could be robust
and effective means to optimize difficult practical problems. This
book introduces a different approach to the challenging task of
chaos control, and should assist students, academic researchers and
engineers working with either nonlinear and chaotic systems, or
evolutionary computation.
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