Genetic Algorithms (GA) are one of the various methods in the family of evolutionary algorithms that seek answers to developing questions by providing better solutions. Its applications can be observed in science, engineering, business and social sciences. In this book, the reader will get introduced to some applications in automatic control, scheduling of resources, electrical and electronics engineering. It also demonstrates various examples of character recognition and multi-criteria categorization, as well as trading systems. Therefore, this book will be useful to engineers and scientists belonging to different fields of specialization who need some evolutionary techniques in their work and for those readers who may be using Genetic Algorithms in their work for the first time.