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This book is designed for Electronics and Computer Science graduate, post graduate students and research scholars. This book provides different optimization algorithms for learning the Artificial Neural Network (ANN) Architecture and connection weights using Evolutionary process on feed-forward networks. Here, it is provided the mathematical model for Evolutionary ANN. It also provides time complexity on different selection methods and their statistical models was generated. Finally a comparative analysis were also made on different parameters.