This book includes thirteen chapters covering a wide area of topics in evolutionary computing and applications including: Introduction to evolutionary computing in system design, neuro-fuzzy system evolution, the evolution of fuzzy controller, genetic algorithm for multi-classifier design; grooming traffic evolution, evolution particle swarm, fuzzy logic systems using genetic algorithms, evolutionary algorithms and immune learning for design of controller based on neural networks, distributed problem solving using evolutionary learning, evolutionary computation in grid environment; evolutionary game theory in wireless mesh networks; hybrid evolutionary algorithm for multiple objective sailor assignment problem, evolutionary techniques in hardware optimization. This book will be useful to researchers in intelligent systems with interest in evolutionary computing, application engineers and system designers.