Beschreibung:
This unique introduction to GP provides a detailed overview of the subject and its antecedents, with extensive references to the published and on-line 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.
1 Genetic Programming as Machine Learning2 Genetic Programming and Biology3 Computer Science and Mathematical Basics4 Genetic Programming as Evolutionary Computation5 Basic Concepts-The Foundation6 Crossover-The Center of the Storm7 Genetic Programming and Emergent Order8 Analysis-Improving Genetic Programming with Statistics9 Different Varieties of Genetic Programming10 Advanced Genetic Programming11 Implementation-Making Genetic Programming Work12 Applications of Genetic Programming13 Summary and PerspectivesA Printed and Recorded ResourcesB Information Available on the InternetC GP Software D Events