Linear Genetic Programming (Hardcover, 2007 ed.)

Linear Genetic Programming presents a variant of genetic programming (GP) that evolves imperative computer programs as linear sequences of instructions, in contrast to the more traditional functional expressions or syntax trees. Primary characteristics of linear program structure are exploited to achieve acceleration of both execution time and evolutionary progress. Online analysis and optimization of program code lead to more efficient techniques and contribute to a better understanding of the method and its parameters. In particular, the reduction of structural variation step size and non-effective variations play a key role in finding higher quality and less complex solutions. Typical GP phenomena, such as non-effective code, neutral variations, and code growth are investigated from the perspective of linear GP. This book serves as a reference for researchers; it also contains sufficient introductory material for students and those who are new to the field.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Genetic and Evolutionary Computation
Release date:	December 2006
First published:	2007
Authors:	Markus F. Brameier • Wolfgang Banzhaf
Dimensions:	235 x 155 x 19mm (L x W x T)
Format:	Hardcover
Pages:	315
Edition:	2007 ed.
ISBN-13:	978-0-387-31029-9
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > General Promotions
LSN:	0-387-31029-0
Barcode:	9780387310299

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