This book equips its readers with both the common standard algorithms and the working principles, procedures, and special techniques needed to adapt evolutionary algorithms for specific problems, aimed at solving optimization issues. The book is particularly distinguished by its high number of examples, the clear presentation of the fundamentals, and four detailed case studies. The approaches presented for considering constraints, multiple conflicting objective functions, and noisy or time-dependent aspects are of great importance for the application of evolutionary algorithms in industry, business, and research. Evolutionary algorithms are a relatively young optimization method that imitates the interplay between variation and selection in natural evolution.