Evolutionary Optimization: the µGP toolkit
Autor Ernesto Sanchez, Massimiliano Schillaci, Giovanni Squilleroen Limba Engleză Paperback – 15 aug 2014
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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Springer Us – 7 apr 2011 | 582.19 lei 38-44 zile |
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Specificații
ISBN-13: 9781489993687
ISBN-10: 1489993681
Pagini: 196
Ilustrații: XIII, 178 p.
Dimensiuni: 155 x 235 x 10 mm
Greutate: 0.28 kg
Ediția:2011
Editura: Springer Us
Colecția Springer
Locul publicării:New York, NY, United States
ISBN-10: 1489993681
Pagini: 196
Ilustrații: XIII, 178 p.
Dimensiuni: 155 x 235 x 10 mm
Greutate: 0.28 kg
Ediția:2011
Editura: Springer Us
Colecția Springer
Locul publicării:New York, NY, United States
Public țintă
ResearchCuprins
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
Recenzii
From the reviews:
“The text is a handbook for µGP. 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 µGP 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)
“The text is a handbook for µGP. 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 µGP 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)
Caracteristici
Describes an award-winning evolutionary algorithm used for solving practical problems in industry Provides a practical guide on using the µGP, a set of examples to clarify the available choices and advice against common errors and misconceptions Offers practical knowledge about applying various evolutionary schemes using the toolkit, and a set of useful rules of thumb for tuning all toolkit capabilities Includes supplementary material: sn.pub/extras