One of the main difficulties of applying evolutionary algorithms (or, as a matter of fact, any heuristic method) to a given problem is to determine the appropriate set of parameter values. This book covers a broad field of evolutionary computation, including genetic algorithms, evolution strategies, genetic programming, estimation of distribution algorithms, and also discusses issues specific parameters used in parallel implementations, multi-objective evolutionary algorithms, and practical considerations for real-application world.