Evolutionary Optimization: the µGP toolkit - Couverture souple

Sanchez, Ernesto; Schillaci, Massimiliano; Squillero, Giovanni

Couverture souple

ISBN 10 : 1489993681 ISBN 13 : 9781489993687

Editeur : Springer, 2014

Synopsis

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/

A propos du livre

Présentation de l'éditeur

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.

Détails de l'édition

• Éditeur: Springer
• Date d'édition: 2014
• Langue: anglais
• ISBN 10: 1489993681
• ISBN 13: 9781489993687
• Reliure: Broché
• Nombre de pages: 196
• Coordonnées du fabricant: ProductSafety@springernature.com; ProductSafety@springernature.com; ; Poststr. 9; Darmstadt; 64293; Allemagne