-
DISPONIBILITÀ IMMEDIATA
{{/disponibilitaBox}}
-
{{speseGratisLibroBox}}
{{/noEbook}}
{{^noEbook}}
-
Libro
-
- Genere: Libro
- Lingua: Inglese
- Editore: Springer
- Pubblicazione: 03/2018
- Edizione: Softcover reprint of the original 1st ed. 2016
Self-Organizing Migrating Algorithm
davendra donald (curatore); zelinka ivan (curatore)
108,98 €
103,53 €
{{{disponibilita}}}
TRAMA
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.SOMMARIO
Part I. Theory.- Part II. Applications.ALTRE INFORMAZIONI
- Condizione: Nuovo
- ISBN: 9783319802862
- Collana: Studies in Computational Intelligence
- Dimensioni: 235 x 155 mm
- Formato: Brossura
- Illustration Notes: XVIII, 289 p. 128 illus., 87 illus. in color.
- Pagine Arabe: 289
- Pagine Romane: xviii