Metaheuristics for medicine and biology
Document type :
Autre communication scientifique (congrès sans actes - poster - séminaire...)
Title :
Metaheuristics for medicine and biology
Author(s) :
Talbi, El-Ghazali [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Nakib, Amir [Auteur]
Laboratoire Images, Signaux et Systèmes Intelligents [LISSI]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Nakib, Amir [Auteur]
Laboratoire Images, Signaux et Systèmes Intelligents [LISSI]
Publisher :
Springer
Publication date :
2017
English keyword(s) :
Image Processing
Signal Processing
Stochastic Optimization
Bio-Inspired Optimization
Medical Imaging
Biomedical Processing
Computational Intelligence
Metaheuristics
Optimization
Biomedical Engineering
Signal Processing
Stochastic Optimization
Bio-Inspired Optimization
Medical Imaging
Biomedical Processing
Computational Intelligence
Metaheuristics
Optimization
Biomedical Engineering
HAL domain(s) :
Informatique [cs]/Intelligence artificielle [cs.AI]
English abstract : [en]
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 ...
Show more >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.Show less >
Show more >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.Show less >
Language :
Anglais
Audience :
Internationale
Popular science :
Non
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