chapter 1 Simulating Evolution: Basics about Genetic Algorithms -- chapter 2 Evolving Programs: Genetic Programming -- chapter 3 Problems and Success Factors -- chapter 4 Preservation of Relevant Building Blocks -- chapter 5 SASEGASA – More than the Sum of All Parts -- chapter 6 Analysis of Population Dynamics -- chapter 7 Characteristics of Offspring Selection and the RAPGA -- chapter 8 Combinatorial Optimization: Route Planning -- chapter 9 Evolutionary System Identification -- chapter 10 Applications of Genetic Algorithms: Combinatorial Optimization -- chapter 11 Data-Based Modeling with Genetic Programming.