Evolutionary Optimization: the µGP toolkit

Author:   Ernesto Sanchez ,  Massimiliano Schillaci ,  Giovanni Squillero
Publisher:   Springer-Verlag New York Inc.
Edition:   2011 ed.
ISBN:  

9781489993687


Pages:   178
Publication Date:   15 August 2014
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Evolutionary Optimization: the µGP toolkit


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Overview

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/

Full Product Details

Author:   Ernesto Sanchez ,  Massimiliano Schillaci ,  Giovanni Squillero
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   2011 ed.
Dimensions:   Width: 15.50cm , Height: 1.10cm , Length: 23.50cm
Weight:   0.454kg
ISBN:  

9781489993687


ISBN 10:   1489993681
Pages:   178
Publication Date:   15 August 2014
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Evolutionary computation.- Why yet another one evolutionary optimizer?.- The μGP architecture.- Advanced features.- Performing an evolutionary run.- Command line syntax.- Syntax of the settings file.- Syntax of the population parameters file.- Syntax of the external constraints file.- Writing a compliant evaluator.- Implementation details.- Examples and applications.- Argument and option synopsis.- External constraints synopsis.- Index.- References

Reviews

From the reviews: The text is a handbook for GP. It is aimed at providing the reader with all of the information required for proficient use of the tool. ... At the end of the book, a chapter presents a number of examples and applications. ... the book meets its main objective of being a reference for the GP tool ... . It is effective as a starting guide for using the tool, and is also useful for discovering advanced features and exploiting the flexibility of individual representation. (Corrado Mencar, ACM Computing Reviews, March, 2012)


From the reviews: The text is a handbook for GP. It is aimed at providing the reader with all of the information required for proficient use of the tool. ... At the end of the book, a chapter presents a number of examples and applications. ... the book meets its main objective of being a reference for the GP tool ... . It is effective as a starting guide for using the tool, and is also useful for discovering advanced features and exploiting the flexibility of individual representation. (Corrado Mencar, ACM Computing Reviews, March, 2012)


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