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Metaheuristics for medicine and biology

This book highlights recent research on metaheuristics for biomedical engineering, addressing both theoretical and applications aspects. Given the multidisciplinary nature of bio-medical image analysis, it has now become one of the most central topics in computer science, computer engineering and el...

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Detalles Bibliográficos
Autores principales: Nakib, Amir, Talbi, El-Ghazali
Lenguaje:eng
Publicado: Springer 2017
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-662-54428-0
http://cds.cern.ch/record/2258663
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author Nakib, Amir
Talbi, El-Ghazali
author_facet Nakib, Amir
Talbi, El-Ghazali
author_sort Nakib, Amir
collection CERN
description This book highlights recent research on metaheuristics for biomedical engineering, addressing both theoretical and applications aspects. Given the multidisciplinary nature of bio-medical image analysis, it has now become one of the most central topics in computer science, computer engineering and electrical and electronic engineering, and attracted the interest of many researchers. To deal with these problems, many traditional and recent methods, algorithms and techniques have been proposed. Among them, metaheuristics is the most common choice. This book provides essential content for senior and young researchers interested in methodologies for implementing metaheuristics to help solve biomedical engineering problems.
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2017
publisher Springer
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spelling cern-22586632021-04-21T19:17:03Zdoi:10.1007/978-3-662-54428-0http://cds.cern.ch/record/2258663engNakib, AmirTalbi, El-GhazaliMetaheuristics for medicine and biologyEngineeringThis book highlights recent research on metaheuristics for biomedical engineering, addressing both theoretical and applications aspects. Given the multidisciplinary nature of bio-medical image analysis, it has now become one of the most central topics in computer science, computer engineering and electrical and electronic engineering, and attracted the interest of many researchers. To deal with these problems, many traditional and recent methods, algorithms and techniques have been proposed. Among them, metaheuristics is the most common choice. This book provides essential content for senior and young researchers interested in methodologies for implementing metaheuristics to help solve biomedical engineering problems.Springeroai:cds.cern.ch:22586632017
spellingShingle Engineering
Nakib, Amir
Talbi, El-Ghazali
Metaheuristics for medicine and biology
title Metaheuristics for medicine and biology
title_full Metaheuristics for medicine and biology
title_fullStr Metaheuristics for medicine and biology
title_full_unstemmed Metaheuristics for medicine and biology
title_short Metaheuristics for medicine and biology
title_sort metaheuristics for medicine and biology
topic Engineering
url https://dx.doi.org/10.1007/978-3-662-54428-0
http://cds.cern.ch/record/2258663
work_keys_str_mv AT nakibamir metaheuristicsformedicineandbiology
AT talbielghazali metaheuristicsformedicineandbiology