Evolutionary Optimization: the GP toolkit (Paperback, 2011 ed.)

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 GP (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, GP 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, GP 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/

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Release date:	August 2014
First published:	2011
Authors:	Ernesto Sanchez • Massimiliano Schillaci • Giovanni Squillero
Dimensions:	235 x 155 x 11mm (L x W x T)
Format:	Paperback
Pages:	178
Edition:	2011 ed.
ISBN-13:	978-1-4899-9368-7
Categories:	Books > Business & Economics > Business & management > Management & management techniques > Operational research Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	1-4899-9368-1
Barcode:	9781489993687

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