Reflecting emerging concepts and new paradigms in intelligent machines, this is the first book to integrate genetic programming and machine learning techniques for solving a wide range of real-world tasks—including financial data prediction, day-trading rule development, and bio-marker selection. Written by a leading authority, the book explains how to: use machine learning techniques, make learning operators that efficiently sample a search space, navigate the search process through the design of objective fitness functions, and examine the search performance of the evolutionary system. All source code and GUIs are made available for download.