Genetic Algorithms: key concepts and examples: A brief tutorial on Genetic Algorithms - Couverture souple

Gestal, Marcos; Rivero, Daniel; Pazos, Alejandro

 
9783843370820: Genetic Algorithms: key concepts and examples: A brief tutorial on Genetic Algorithms
Couverture souple
ISBN 10 : 3843370826 ISBN 13 : 9783843370820
Editeur : LAP LAMBERT Academic Publishing, 2010

Synopsis

Evolutionary computation can be viewed as a set of techniques conceptually inspired by biological processes. Among that techniques, one of the most used are genetic algorithms. They follow the Darwin Law's to find the solution of a problem. The overall objective of this book is to provide a "roadmap" with which to find the way toward finding computational solutions to various problems. To this end, a general introduction is presented of the methods and techniques associated with genetic algorithms. In this context, this book ought not be viewed as an exhaustive or comprehensive analysis of the techniques presented herein. Instead, it should be considered as a reference that introduces the terminology, key concepts, and basic bibliography that can serve as a starting point such that the reader will be better equipped to subsequently pursue more deeply those topics that may be of special interest. In particular, this book is designed for those people who are interested in new approaches to problem solving as well for researchers who hope to initiate research directions along the lines of evolutionary computing or closely connected areas.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Evolutionary computation can be viewed as a set of techniques conceptually inspired by biological processes. Among that techniques, one of the most used are genetic algorithms. They follow the Darwin Law's to find the solution of a problem. The overall objective of this book is to provide a "roadmap" with which to find the way toward finding computational solutions to various problems. To this end, a general introduction is presented of the methods and techniques associated with genetic algorithms. In this context, this book ought not be viewed as an exhaustive or comprehensive analysis of the techniques presented herein. Instead, it should be considered as a reference that introduces the terminology, key concepts, and basic bibliography that can serve as a starting point such that the reader will be better equipped to subsequently pursue more deeply those topics that may be of special interest. In particular, this book is designed for those people who are interested in new approaches to problem solving as well for researchers who hope to initiate research directions along the lines of evolutionary computing or closely connected areas.

Biographie de l'auteur

M. Gestal and D. Rivero are PhD in Computer Science and associate professors at the University of A Coruña. A. Pazos, Full Professor at the same University, is PhD in Medicine and PhD in Computer Science. They work with Evolutionary Computation techniques in general and with GGAA in particular.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2010
Langue
anglais
ISBN 10 
3843370826
ISBN 13 
9783843370820
Reliure
Broché
Nombre de pages
60
Coordonnées du fabricant
non disponible
Personne responsable
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