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Symbiogenetic Evolutionary Algorithms: A Solution for Linkage Problem and Search Space Management using Partially Specified Genomes and Selection and Evaluation at Group Level - Couverture souple

Halavati, Ramin

 
9783639254440: Symbiogenetic Evolutionary Algorithms: A Solution for Linkage Problem and Search Space Management using Partially Specified Genomes and Selection and Evaluation at Group Level
Couverture souple
ISBN 10 : 3639254449 ISBN 13 : 9783639254440
Editeur : VDM Verlag Dr. Müller, 2010

Synopsis

Evolutionary algorithms are a widespread theme in artificial intelligence. Inspired from Darwin?s theory of evolution, these algorithms are based on small variations in the genetic code of a population of organisms along with survival of the fittest. While being a very successful approach, there are some problems that must be dealt with during the design stage of these algorithms such as genome design and building blocks management. To overcome these problems, this book proposes algorithms based on the rather newer theory of Symbiogenesis. This theory presents cooperation as the main force of evolution and knows the accumulation of random changes in genetic code of the organisms insufficient for the evolution of life. Along with the general idea of a Symbiogenetic Evolutionary Algorithm, implementations on different tasks including function optimization, data mining, and artificial immune systems are presented and it is shown that the new algorithm has an easy design stage and requires less run time in compare to the rival algorithms. The book is recommended to artificial intelligence practitioners working on evolutionary algorithms, data mining, optimization, and machine learning.

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

Présentation de l'éditeur

Evolutionary algorithms are a widespread theme in artificial intelligence. Inspired from Darwin?s theory of evolution, these algorithms are based on small variations in the genetic code of a population of organisms along with survival of the fittest. While being a very successful approach, there are some problems that must be dealt with during the design stage of these algorithms such as genome design and building blocks management. To overcome these problems, this book proposes algorithms based on the rather newer theory of Symbiogenesis. This theory presents cooperation as the main force of evolution and knows the accumulation of random changes in genetic code of the organisms insufficient for the evolution of life. Along with the general idea of a Symbiogenetic Evolutionary Algorithm, implementations on different tasks including function optimization, data mining, and artificial immune systems are presented and it is shown that the new algorithm has an easy design stage and requires less run time in compare to the rival algorithms. The book is recommended to artificial intelligence practitioners working on evolutionary algorithms, data mining, optimization, and machine learning.

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

Éditeur
VDM Verlag Dr. Müller
Date d'édition
2010
Langue
anglais
ISBN 10 
3639254449
ISBN 13 
9783639254440
Reliure
Broché
Nombre de pages
128
Coordonnées du fabricant
non disponible
Personne responsable
non disponible