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Designing reliable and optimal systems is one of the key challenges in contemporary electronics. This book provides novel insights into designing reliable systems with optimal configurations using Genetic Algorithms (GAs). GAs are highly customized processes, which work with large amounts of data and simple operators to yield optimal solutions to difficult problems. This book uses abstractions at the transistor, gate and systems level to demonstrate the heuristics and challenges in the design process. The book propounds a novel technique for evolving transistor net lists directly from truth...