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Genetic Programming Theory and Practice brings together some of the most impactful researchers in the field of Genetic Programming (GP), each one working on unique and interesting intersections of theoretical development and practical applications of this evolutionary-based machine learning paradigm.
Chapter 1. Symbolic Regression and Real World Applications.- Chapter 2. Program Synthesis with GP plus others.- Chapter 3. Machine learning and GP.- Chapter 4. Grammatical Evolution and Medical Applications of GP.- Chapter 5. Evolved Analytics LLC, Efficient Real-World Problem Solving with Genetic Programming.- Chapter 6. Automatic Machine Learning with GP.- Chapter 7. GP and Cybersecurity.- Transfer Learning and GP.- Chapter 8. Selection Mechanisms in Genetic Programming.- Chapter 9. Evolutionary Computation and Machine Learning.
Wolfgang Banzhaf, Betty H.C. Cheng, Kalyanmoy Deb, Kay E. Holekamp, Richard E. Lenski, Charles Ofria, Robert T. Pennock, William F. Punch, Danielle J. Whittaker, Betty H. C. Cheng