Exploitation of Linkage Learning in Evolutionary Algorithms: 3 (Adaptation, Learning, and Optimization) - Tapa blanda

 
9783642263279: Exploitation of Linkage Learning in Evolutionary Algorithms: 3 (Adaptation, Learning, and Optimization)
Tapa blanda
ISBN 10: 3642263275 ISBN 13: 9783642263279
Editorial: Springer, 2012

Sinopsis

One major branch of enhancing the performance of evolutionary algorithms is the exploitation of linkage learning. This monograph aims to capture the recent progress of linkage learning, by compiling a series of focused technical chapters to keep abreast of the developments and trends in the area of linkage. In evolutionary algorithms, linkage models the relation between decision variables with the genetic linkage observed in biological systems, and linkage learning connects computational optimization methodologies and natural evolution mechanisms. Exploitation of linkage learning can enable us to design better evolutionary algorithms as well as to potentially gain insight into biological systems. Linkage learning has the potential to become one of the dominant aspects of evolutionary algorithms; research in this area can potentially yield promising results in addressing the scalability issues.

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De la contraportada

One major branch of enhancing the performance of evolutionary algorithms is the exploitation of linkage learning. This monograph aims to capture the recent progress of linkage learning, by compiling a series of focused technical chapters to keep abreast of the developments and trends in the area of linkage. In evolutionary algorithms, linkage models the relation between decision variables with the genetic linkage observed in biological systems, and linkage learning connects computational optimization methodologies and natural evolution mechanisms. Exploitation of linkage learning can enable us to design better evolutionary algorithms as well as to potentially gain insight into biological systems. Linkage learning has the potential to become one of the dominant aspects of evolutionary algorithms; research in this area can potentially yield promising results in addressing the scalability issues.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2012
Idioma
Inglés
ISBN 10 
3642263275
ISBN 13 
9783642263279
Encuadernación
Tapa blanda
Número de páginas
256
Editor
Chen Ying-ping
Contacto del fabricante
ProductSafety@springernature.com
ProductSafety@springernature.com

Poststr. 9
Darmstadt
64293
Alemania

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9783642128332: Exploitation of Linkage Learning in Evolutionary Algorithms: 3 (Adaptation, Learning, and Optimization, 3)

Edición Destacada

ISBN 10:  3642128335 ISBN 13:  9783642128332
Editorial: Springer, 2010
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