Self-Organizing Migrating Algorithm

Lieferzeit: Lieferbar innerhalb 14 Tagen

106,99 

Methodology and Implementation, Studies in Computational Intelligence 626

ISBN: 3319802860
ISBN 13: 9783319802862
Herausgeber: Donald Davendra/Ivan Zelinka
Verlag: Springer Verlag GmbH
Umfang: xviii, 289 S., 41 s/w Illustr., 87 farbige Illustr., 289 p. 128 illus., 87 illus. in color.
Erscheinungsdatum: 30.03.2018
Auflage: 1/2016
Produktform: Kartoniert
Einband: Kartoniert

This book brings together the current state oftheart research in Self Organizing Migrating Algorithm (SOMA) as a novel populationbased evolutionary algorithm, modeled on the predatorprey 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.

Artikelnummer: 5456695 Kategorie:

Beschreibung

This book brings together the current state oftheart research in Self Organizing Migrating Algorithm (SOMA) as a novel populationbased evolutionary algorithm, modeled on the predatorprey 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.

Herstellerkennzeichnung:


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