Self-Organizing Migrating Algorithm Methodology and Implementation /

This book brings together the current state of-the-art research in Self Organizing Migrating Algorithm (SOMA) as a novel population-based evolutionary algorithm, modeled on the predator-prey relationship, by its leading practitioners. As the first ever book on SOMA, this book is geared towards gradu...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Davendra, Donald (Editor ), Zelinka, Ivan (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Colección:Studies in Computational Intelligence, 626
Temas:
Computational intelligence.
Artificial intelligence.
Mathematical optimization.
Computational Intelligence.
Artificial Intelligence.
Optimization.
Acceso en línea:Texto Completo
Descripción
Sumario:This book brings together the current state of-the-art research in Self Organizing Migrating Algorithm (SOMA) as a novel population-based evolutionary algorithm, modeled on the predator-prey relationship, by its leading practitioners. As the first ever book on SOMA, this book is geared towards graduate students, academics and researchers, who are looking for a good optimization algorithm for their applications. This book presents the methodology of SOMA, covering both the real and discrete domains, and its various implementations in different research areas. The easy-to-follow and implement methodology used in the book will make it easier for a reader to implement, modify and utilize SOMA. .
Descripción Física:XVIII, 289 p. 128 illus., 87 illus. in color. online resource.
ISBN:9783319281612
ISSN:1860-9503 ;

Ejemplares similares