Evolutionary Optimization: the uGP toolkit

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112,34 

ISBN: 1489993681
ISBN 13: 9781489993687
Autor: Sanchez, Ernesto/Schillaci, Massimiliano/Squillero, Giovanni
Verlag: Springer Verlag GmbH
Umfang: xiii, 178 S.
Erscheinungsdatum: 15.08.2014
Auflage: 1/2011
Produktform: Kartoniert
Einband: Kartoniert

Describes an award-winning evolutionary algorithm used for solving practical problems in industryProvides a practical guide on using the µGP, a set of examples to clarify the available choices and advice against common errors and misconceptionsOffers practical knowledge about applying various evolutionary schemes using the toolkit, and a set of useful rules of thumb for tuning all toolkit capabilitiesIncludes supplementary material: sn.pub/extras

Artikelnummer: 7804525 Kategorie:

Beschreibung

This book describes an award-winning evolutionary algorithm that outperformed experts and conventional heuristics in solving several industrial problems. It presents a discussion of the theoretical and practical aspects that enabled µGP (MicroGP) to autonomously find the optimal solution of hard problems, handling highly structured data, such as full-fledged assembly programs, with functions and interrupt handlers.For a practitioner, µGP is simply a versatile optimizer to tackle most problems with limited setup effort. The book is valuable for all who require heuristic problem-solving methodologies, such as engineers dealing with verification and test of electronic circuits; or researchers working in robotics and mobile communication. Examples are provided to guide the reader through the process, from problem definition to gathering results.For an evolutionary computation researcher, µGP may be regarded as a platform where new operators and strategies can be easily tested.MicroGP (the toolkit) is an active project hosted by Sourceforge: http://ugp3.sourceforge.net/

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