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.
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 Learning 2 Genetic Programming and Biology 3 Computer Science and Mathematical Basics 4 Genetic Programming as Evolutionary Computation 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 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 A Printed and Recorded Resources B Information Available on the Internet C GP Software D Events
1 Genetic Programming as Machine Learning 2 Genetic Programming and Biology 3 Computer Science and Mathematical Basics 4 Genetic Programming as Evolutionary Computation 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 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 A Printed and Recorded Resources B Information Available on the Internet C GP Software D Events
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