Genetic Programming: An Introduction
- 2006 Morgan Kaufmann Publishers ; Reed Elsevier India Private Limited New Delhi
- xix; 470p.
I. Prerequisites of Genetic Programming. 1. Genetic Programming as Machine Learning. 2. Genetic Programming and Biology. 3. Computer Science and Mathematical Basics. 4. Genetic Programming as Evolutionary Computation -- II. Genetic Programming Fundamentals. 5. Basic Concepts -- The Foundation. 6. Crossover -- The Center of the Storm. 7. Genetic Programming and Emergent Order. 8. Analysis -- Improving Genetic Programming with Statistics -- III. Advanced Topics in Genetic Programming. 9. Different Varieties of Genetic Programming. 10. Advanced Genetic Programming. 11. Implementation -- Making Genetic Programming Work. 12. Applications of Genetic Programming. 13. Summary and Perspectives.
This unique introduction to GP provides a detailed overview of the subject and its antecedents with extensive references to the published and online literature. In addition to explaining the fundamental theory and important algorithms, the text includes practical discussions covering a wealth of potential applications and real-world implementation techniques. Software professionals needing to understand and apply GP concepts will find this book an invaluable practical and theoretical guide.