Metaheuristics for medicine and biology

Abstract : 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.
Type de document :
Ouvrage (y compris édition critique et traduction)
Springer, 704, 2017, Studies in Computational Intelligence, 978-3-662-54426-6. 〈10.1007/978-3-662-54428-0〉
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https://hal.inria.fr/hal-01654686
Contributeur : Talbi El-Ghazali <>
Soumis le : lundi 4 décembre 2017 - 11:53:03
Dernière modification le : vendredi 1 juin 2018 - 01:16:07

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El-Ghazali Talbi, Amir Nakib. Metaheuristics for medicine and biology. Springer, 704, 2017, Studies in Computational Intelligence, 978-3-662-54426-6. 〈10.1007/978-3-662-54428-0〉. 〈hal-01654686〉

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