The originators and pioneers of the Self-Organizing Migrating Algorithm SOMA present the theory and application domain of the algorithm in a concise and detailed format
Presents the SOMA methodology and framework in an integrated way to make it accessible to a number of audiences
Divided into a theory and applications part
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.
PartI. Theory.- PartII. Applications.
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.
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.
PartI. Theory.- PartII. Applications.
Inhaltsverzeichnis
Part
I. Theory.- Part
II. Applications.
Klappentext
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.
The originators and pioneers of the Self-Organizing Migrating Algorithm SOMA present the theory and application domain of the algorithm in a concise and detailed format
Presents the SOMA methodology and framework in an integrated way to make it accessible to a number of audiences
Divided into a theory and applications part
Includes supplementary material: sn.pub/extras
