This provides a statistical methodology to learn from the experiment, in which experiments should distinguish between statistical significance and scientific significance. This book introduces the new experimentalism in evolutionary computation, providing tools to understand the algorithms and programs and their interaction with the optimization problem. Treating the optimization run as an experiment, the authors offer a method to solve complex real-world problems that involve optimization via simulation, and he described the successful application in engineering projects and industrial control. Book bridges the gap between theory and experiment by providing independent experimental methodology and many examples, so it is suitable for practitioners and researchers and also for lecturers and students.