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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...

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Detalles Bibliográficos
Autores principales: Davendra, Donald, Zelinka, Ivan
Lenguaje:eng
Publicado: Springer 2016
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-28161-2
http://cds.cern.ch/record/2137881
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author Davendra, Donald
Zelinka, Ivan
author_facet Davendra, Donald
Zelinka, Ivan
author_sort Davendra, Donald
collection CERN
description 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. .
id cern-2137881
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2016
publisher Springer
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spelling cern-21378812021-04-21T19:45:55Zdoi:10.1007/978-3-319-28161-2http://cds.cern.ch/record/2137881engDavendra, DonaldZelinka, IvanSelf-organizing migrating algorithm: methodology and implementationEngineeringThis 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. .Springeroai:cds.cern.ch:21378812016
spellingShingle Engineering
Davendra, Donald
Zelinka, Ivan
Self-organizing migrating algorithm: methodology and implementation
title Self-organizing migrating algorithm: methodology and implementation
title_full Self-organizing migrating algorithm: methodology and implementation
title_fullStr Self-organizing migrating algorithm: methodology and implementation
title_full_unstemmed Self-organizing migrating algorithm: methodology and implementation
title_short Self-organizing migrating algorithm: methodology and implementation
title_sort self-organizing migrating algorithm: methodology and implementation
topic Engineering
url https://dx.doi.org/10.1007/978-3-319-28161-2
http://cds.cern.ch/record/2137881
work_keys_str_mv AT davendradonald selforganizingmigratingalgorithmmethodologyandimplementation
AT zelinkaivan selforganizingmigratingalgorithmmethodologyandimplementation