Self-Organizing Migrating Algorithm : Methodology and Implementation
1st ed. 2016
Book Details
Format
Hardback or Cased Book
Book Series
Studies in Computational Intelligence
ISBN-10
3319281593
ISBN-13
9783319281599
Edition
1st ed. 2016
Publisher
Springer International Publishing AG
Imprint
Springer International Publishing AG
Country of Manufacture
CH
Country of Publication
GB
Publication Date
Feb 12th, 2016
Print length
289 Pages
Product Classification:
OptimizationArtificial intelligenceArtificial intelligence (AI)
Ksh 16,200.00
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This book brings together the current stateof-the-art research in Self Organizing Migrating Algorithm (SOMA) as a novelpopulation-based evolutionary algorithm, modeled on the predator-preyrelationship, by its leading practitioners.
This book brings together the current stateof-the-art research in Self Organizing Migrating Algorithm (SOMA) as a novelpopulation-based evolutionary algorithm, modeled on the predator-preyrelationship, by its leading practitioners. As the first ever book on SOMA, this book isgeared towards graduate students, academics and researchers, who are looking fora good optimization algorithm for their applications. This book presents themethodology of SOMA, covering both the real and discrete domains, and itsvarious implementations in different research areas. The easy-to-follow andimplement methodology used in the book will make it easier for a reader toimplement, modify and utilize SOMA.
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