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Parallel Genetic Algorithms Theory and Real World Applications /

This book is the result of several years of research trying to better characterize parallel genetic algorithms (pGAs) as a powerful tool for optimization, search, and learning. Readers can learn how to solve complex tasks by reducing their high computational times. Dealing with two scientific fields...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Luque, Gabriel (Autor), Alba, Enrique (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2011.
Edición:1st ed. 2011.
Colección:Studies in Computational Intelligence, 367
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Part I Introduction
  • Part II Characterization of Parallel Genetic Algorithms
  • Part III Applications of Parallel Genetic Algorithms.