Genetic Programming: An Introduction (The Morgan Kaufmann Series in Artificial Intelligence)
Since the early 1990s, genetic programming (GP)-a discipline whose goal is to enable the automatic generation of computer programs-has emerged as one of the most promising paradigms for fast, productive software development. Get and download textbook Genetic Programming: An Introduction (The Morgan Kaufmann Series in Artificial Intelligence) for free
Springer-Verlag New York Inc. | 2005 | 620 pages | ISBN-13: 9780387250670 | ISBN-10: 0387250670 | You save 15%
GP combines biological metaphors gleaned from Darwin's theory of evolution with computer-science approaches drawn from the field of machine learning to create programs that are capable of adapting or recreating themselves for open-ended tasks.
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 Genetic Programming new edition
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This book constitutes the refereed proceedings of the 15th European Conference on Genetic Programming, EuroGP 2012, held in Málaga, Spain, in April 2012 co-located with the Evo* 2012 events.
The 18 revised full papers presented together with 5 poster papers were carefully reviewed and selected from 46 submissions. The wide range of topics in this volume reflects the current state of research in the field, including different genres of GP (tree-based, grammar-based, Cartesian), theory, novel operators, and applications.
The 18 revised full papers presented together with 5 poster papers were carefully reviewed and selected from 46 submissions. The wide range of topics in this volume reflects the current state of research in the field, including different genres of GP (tree-based, grammar-based, Cartesian), theory, novel operators, and applications.
Categories: Genetic programming (Computer science). Contributors: James A. Foster - Author. Format: Paperback
Categories: Data mining, Genetic programming (Computer science). Contributors: Man Leung Wong - Author. Format: Hardcover
Categories: Genetic programming (Computer science). Contributors: Michael O'Neill - Author. Format: Paperback
Genetic Programming Textbook
GP combines biological metaphors gleaned from Darwin's theory of evolution with computer-science approaches drawn from the field of machine learning to create programs that are capable of adapting or recreating themselves for open-ended tasks
In addition to explaining the fundamental theory and important algorithms, the text includes practical discussions
