Genetic Algorithms: Principles and Perspectives - A Guide to GA Theory (Paperback, Softcover reprint of the original 1st ed. 2002)

Genetic Algorithms: Principles and Perspectives: A Guide to GA Theory is a survey of some important theoretical contributions, many of which have been proposed and developed in the Foundations of Genetic Algorithms series of workshops. However, this theoretical work is still rather fragmented, and the authors believe that it is the right time to provide the field with a systematic presentation of the current state of theory in the form of a set of theoretical perspectives. The authors do this in the interest of providing students and researchers with a balanced foundational survey of some recent research on GAs. The scope of the book includes chapter-length discussions of Basic Principles, Schema Theory, "No Free Lunch", GAs and Markov Processes, Dynamical Systems Model, Statistical Mechanics Approximations, Predicting GA Performance, Landscapes and Test Problems.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Operations Research/Computer Science Interfaces Series, 20
Release date:	May 2013
First published:	2002
Authors:	Colin R. Reeves • Jonathan E Rowe
Dimensions:	235 x 155 x 18mm (L x W x T)
Format:	Paperback
Pages:	332
Edition:	Softcover reprint of the original 1st ed. 2002
ISBN-13:	978-1-4757-7818-2
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Business & Economics > Business & management > Management & management techniques > Operational research Books > Science & Mathematics > Mathematics > Optimization > General Books > Computing & IT > Applications of computing > Artificial intelligence > General Promotions
LSN:	1-4757-7818-X
Barcode:	9781475778182

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