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Trends in Developing Metaheuristics, Algorithms, and Optimization Approaches - Tapa dura

 
9781466621459: Trends in Developing Metaheuristics, Algorithms, and Optimization Approaches
Tapa dura
ISBN 10: 1466621451 ISBN 13: 9781466621459
Editorial: Information Science Reference, 2012

Sinopsis

Developments in metaheuristics continue to advance computation beyond its traditional methods. With groundwork built on multidisciplinary research findings; metaheuristics, algorithms, and optimization approaches uses memory manipulations in order to take full advantage of strategic level problem solving. Trends in Developing Metaheuristics, Algorithms, and Optimization Approaches provides insight on the latest advances and analysis of technologies in metaheuristics computing. Offering widespread coverage on topics such as genetic algorithms, differential evolution, and ant colony optimization, this book aims to be a forum researchers, practitioners, and students who wish to learn and apply metaheuristic computing.

"Sinopsis" puede pertenecer a otra edición de este libro.

Reseña del editor

Trends in Developing Metaheuristics, Algorithms, and Optimization Approaches provides insight on the latest advances and analysis of technologies in metaheuristics computing. Offering widespread coverage on topics such as genetic algorithms, differential evolution, and ant colony optimization, this book aims to be a forum researchers, practitioners, and students who wish to learn and apply metaheuristic computing.

Reseña del editor

Developments in metaheuristics continue to advance computation beyond its traditional methods. With groundwork built on multidisciplinary research findings; metaheuristics, algorithms, and optimization approaches uses memory manipulations in order to take full advantage of strategic level problem solving.Trends in Developing Metaheuristics, Algorithms, and Optimization Approaches provides insight on the latest advances and analysis of technologies in metaheuristics computing. Offering widespread coverage on topics such as genetic algorithms, differential evolution, and ant colony optimization, this book aims to be a forum researchers, practitioners, and students who wish to learn and apply metaheuristic computing.

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

Editorial
Information Science Reference
Año de publicación
2012
Idioma
Inglés
ISBN 10 
1466621451
ISBN 13 
9781466621459
Encuadernación
Tapa dura
Número de páginas
376
Editor
Yin Peng-Yeng
Contacto del fabricante
no disponible
Persona responsable
GPSR Kontakt
gpsr@libri.de

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