Evolutionary Optimization: the µGP toolkit

Ernesto Sanchez

ISBN 10: 1489993681 / ISBN 13: 9781489993687

Verlag: Springer US, Springer New York, 2014

Beschreibung

Druck auf Anfrage Neuware - Printed after ordering.

Bestandsnummer des Verkäufers 9781489993687

Bibliografische Details

• Titel: Evolutionary Optimization: the µGP toolkit
• Verlag: Springer US, Springer New York
• Erscheinungsjahr: 2014
• Sprache: Englisch
• ISBN-10: 1489993681
• ISBN-13: 9781489993687
• Einband: Taschenbuch
• Zustand: Neu

Über diesen Titel

Inhaltsangabe

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/

Críticas

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)