Evolutionary Optimization: the GP toolkit The UGP Toolkit Ernesto Sanchez (u. a.) Buch Englisch 2011 - gebunden oder broschiert
2011, ISBN: 9780387094250
[ED: Gebunden], [PU: Springer-Verlag GmbH], This book describes an award-winning evolutionary algorithm that outperformed experts and conventional heuristics in solving several industrial… Mehr…
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Evolutionary Optimization: the GP toolkit The UGP Toolkit Ernesto Sanchez (u. a.) Buch Englisch 2011 - gebunden oder broschiert
2011, ISBN: 9780387094250
[ED: Gebunden], [PU: Springer-Verlag GmbH], This book describes an award-winning evolutionary algorithm that outperformed experts and conventional heuristics in solving several industrial… Mehr…
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ISBN: 9780387094250
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 t… Mehr…
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Evolutionary Optimization: the GP toolkit The UGP Toolkit Ernesto Sanchez (u. a.) Buch Englisch 2011 - gebunden oder broschiert
2011, ISBN: 9780387094250
[ED: Gebunden], [PU: Springer-Verlag GmbH], This book describes an award-winning evolutionary algorithm that outperformed experts and conventional heuristics in solving several industrial… Mehr…
Sanchez, Ernesto:
Evolutionary Optimization: the GP toolkit The UGP Toolkit Ernesto Sanchez (u. a.) Buch Englisch 2011 - gebunden oder broschiert2011, ISBN: 9780387094250
[ED: Gebunden], [PU: Springer-Verlag GmbH], This book describes an award-winning evolutionary algorithm that outperformed experts and conventional heuristics in solving several industrial… Mehr…
ISBN: 9780387094250
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 t… Mehr…
2011, ISBN: 9780387094250
*Evolutionary Optimization: the µGP toolkit* - Auflage 2011 / gebundene Ausgabe für 106.99 € / Aus dem Bereich: Bücher, Ratgeber, Computer & Internet Medien > Bücher nein Buch (gebunden) … Mehr…
2011, ISBN: 0387094253
Evolutionary Optimization: the µGP toolkit ab 34.02 € als gebundene Ausgabe: The UGP Toolkit. Auflage 2011. Aus dem Bereich: Bücher, Ratgeber, Computer & Internet, Medien > Bücher, Spring… Mehr…
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Detailangaben zum Buch - Evolutionary Optimization: the µGP toolkit
EAN (ISBN-13): 9780387094250
ISBN (ISBN-10): 0387094253
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2011
Herausgeber: Springer US
178 Seiten
Gewicht: 0,420 kg
Sprache: eng/Englisch
Buch in der Datenbank seit 2008-08-30T16:42:36+02:00 (Berlin)
Detailseite zuletzt geändert am 2024-01-14T21:49:48+01:00 (Berlin)
ISBN/EAN: 9780387094250
ISBN - alternative Schreibweisen:
0-387-09425-3, 978-0-387-09425-0
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: mejia sanchez, ernesto mejía sánchez, ernes, massimi, giovanni
Titel des Buches: the
Daten vom Verlag:
Autor/in: Ernesto Sanchez; Massimiliano Schillaci; Giovanni Squillero
Titel: Evolutionary Optimization: the µGP toolkit
Verlag: Springer; Springer US
178 Seiten
Erscheinungsjahr: 2011-04-07
New York; NY; US
Gedruckt / Hergestellt in Niederlande.
Gewicht: 0,459 kg
Sprache: Englisch
106,99 € (DE)
109,99 € (AT)
118,00 CHF (CH)
POD
XIII, 178 p.
BB; Artificial Intelligence; Hardcover, Softcover / Informatik, EDV/Informatik; Künstliche Intelligenz; Verstehen; Evolutionary Optimization; Genetic Programming; Graph-based representation; Industrial Problems; MicroGP; Problem Complexity; Real-world Applications; Turing-complete; evolutionary algorithm; evolutionary computation; Computer Applications; Computer-Aided Engineering (CAD, CAE) and Design; Artificial Intelligence; Computer and Information Systems Applications; Computer-Aided Engineering (CAD, CAE) and Design; Angewandte Informatik; Computer-Aided Design (CAD); BC; EA
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/
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
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)
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
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