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/
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
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)
This text begins with an overview of the most popular techniques of evolutionary computation followed by a discussion of the theoretical and practical aspects of μGP. It includes several detailed examples with actual results.
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Paperback. Zustand: new. Paperback. 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 mGP (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, mGP 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, mGP 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: / This text begins with an overview of the most popular techniques of evolutionary computation followed by a discussion of the theoretical and practical aspects of muGP. It includes several detailed examples with actual results. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9781489993687
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Describes an award-winning evolutionary algorithm used for solving practical problems in industry Provides a practical guide on using the uGP, a set of examples to clarify the available choices and advice against common errors and misconceptions. Bestandsnummer des Verkäufers 11466938
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