Genetic Programming Theory and Practice [electronic resource] /

Genetic Programming Theory and Practice explores the emerging interaction between theory and practice in the cutting-edge, machine learning method of Genetic Programming (GP). The material contained in this contributed volume was developed from a workshop at the University of Michigan's Center for the Study of Complex Systems where an international group of genetic programming theorists and practitioners met to examine how GP theory informs practice and how GP practice impacts GP theory. The contributions cover the full spectrum of this relationship and are written by leading GP theorists from major universities, as well as active practitioners from leading industries and businesses. Chapters include such topics as John Koza's development of human-competitive electronic circuit designs; David Goldberg's application of "competent GA" methodology to GP; Jason Daida's discovery of a new set of factors underlying the dynamics of GP starting from applied research; and Stephen Freeland's essay on the lessons of biology for GP and the potential impact of GP on evolutionary theory.

Bibliographic Details

Main Authors:	Riolo, Rick. editor., Worzel, Bill. editor., SpringerLink (Online service)
Format:	Texto biblioteca
Language:	eng
Published:	Boston, MA : Springer US : Imprint: Springer, 2003
Subjects:	Computer science., Data structures (Computer science)., Computers., Artificial intelligence., Electrical engineering., Computer Science., Data Structures, Cryptology and Information Theory., Artificial Intelligence (incl. Robotics)., Theory of Computation., Electrical Engineering.,
Online Access:	http://dx.doi.org/10.1007/978-1-4419-8983-3
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