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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...
Autores principales: | , |
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Lenguaje: | eng |
Publicado: |
Springer
2016
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-3-319-28161-2 http://cds.cern.ch/record/2137881 |
_version_ | 1780950021883035648 |
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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 |
record_format | invenio |
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 |