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. 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 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."
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