Genetic programming is a form of evolutionary computation that evolves programs and program-like executable structures for developing reliable time -- and cost-effective applications. It does this by breeding programs over many generations, using the principles of natural selection, sexual recombination, and mutuation. This third volume of Advances in Genetic Programming highlights many of the recent technical advances in this increasingly popular field.

About the Author

Lee Spector is Associate Professor of Computer Science, MacArthur Chair, at Hampshire College. William B. Langdon is a Scientific Researcher at the Centrum voor Wiskunde en Informatica. Una-May O'Reilly is a Postdoctoral Associate in the Artificial Intelligence Laboratory at the Massachusetts Institute of Technology. Peter J. Angeline is Senior Staff Scientist at Natural Selection, Inc.

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