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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.