Genetic Algorithms: Principles and Perspectives : A Guide to GA Theory

by Colin R. Reeves, Jonathan E. Rowe

Basic Principles -- Schema Theory -- No Free Lunch for GAs -- GAs as Markov Processes -- The Dynamical Systems Model -- Statistical Mechanics Approximations -- Predicting GA Performance -- Landscapes -- Summary.

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Year of publication:	2002 ; 1st ed. 2002.
Authors:	Reeves, Colin R. ; Rowe, Jonathan E.
Publisher:	2002.: New York, NY : Imprint: Springer 2002.: New York, NY : Springer US
Subject:	Genetische Algorithmen \| Mathematische Optimierung \| Mathematical programming \| Evolutionsökonomik \| Evolutionary economics \| Stochastischer Prozess \| Stochastic process \| Theorie \| Theory \| Genetischer Algorithmus
Description of contents:	Table of Contents [gbv.de] ; Description [zbmath.org]

Extent:	1 Online-Ressource(XI, 332 p. 4 illus.)
Series:	Operations Research/Computer Science Interfaces Series ; 20
Type of publication:	Book / Working Paper
Type of publication (narrower categories):	Bibliografie enthalten ; Bibliography included ; Übersichtsarbeit ; Systematic review ; Lehrbuch ; Textbook
Language:	English
Notes:	Includes bibliographical references (p. [295]-326) and indexes ""Contents""
ISBN:	978-0-306-48050-8 ; 978-1-4757-7818-2 ; 978-1-4020-7240-6 ; 978-1-4757-7817-5
Other identifiers:	10.1007/b101880 [DOI]
Classification:	Künstliche Intelligenz ; Angewandte Mathematik ; Methoden und Techniken der Betriebswirtschaft
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://ebvufind01.dmz1.zbw.eu/10014021863