I. Genetic Algorithms.- 1 What Are They?.- 2 How Do They Work?.- 3 Why Do They Work?.- 4 Selected Topics.- II. Numerical Optimization.- 5 Binary or Float?.- 6 Fine Local Tuning.- 7 Handling Constraints.- 8 Evolution Strategies and Other Methods.- III. Evolution Programs.- 9 The Transportation Problem.- 10 The Traveling Salesman Problem.- 11 Drawing Graphs, Scheduling, and Partitioning.- 12 Machine Learning.- Conclusions.- References.