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Evolutionary Optimization: The µGp Toolkit

AUTHOR Squillero, Giovanni; Schillaci, Massimiliano; Sanchez, Ernesto
PUBLISHER Springer (04/07/2011)
PRODUCT TYPE Hardcover (Hardcover)

Description

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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Product Format
Product Details
ISBN-13: 9780387094250
ISBN-10: 0387094253
Binding: Hardback or Cased Book (Unsewn / Adhesive Bound)
Content Language: English
More Product Details
Page Count: 178
Carton Quantity: 32
Product Dimensions: 6.50 x 0.68 x 9.77 inches
Weight: 0.97 pound(s)
Feature Codes: Bibliography, Table of Contents, Illustrated
Country of Origin: NL
Subject Information
BISAC Categories
Computers | Artificial Intelligence - General
Computers | Business & Productivity Software - General
Computers | Design, Graphics & Media - CAD-CAM
Dewey Decimal: 005.18
Library of Congress Control Number: 2011923862
Descriptions, Reviews, Etc.
publisher marketing

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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List Price $109.99
Your Price  $108.89
Hardcover