Explores the interaction between theory and practice in the cutting-edge, machine learning method of Genetic Programming (GP). This work contains chapters that include such topics as financial trading rules, industrial statistical model building, population sizing, stock picking, topological synthesis of robust systems, and algorithmic chemistry.