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 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.

Riassunto

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.

Dettagli sul prodotto

• Con la collaborazione di: Amir Nakib (Editore), El-Ghazali Talbi (Editore), Ami Nakib (Editore), Talbi (Editore), Talbi (Editore)
• Editore: Springer, Berlin
• Contenuto: Libro
• Forma del prodotto: Copertina rigida
• Data pubblicazione: 30.04.2017
• Categoria: Scienze naturali, medicina, informatica, tecnica > Tecnica > Tematiche generali, enciclopedie
• EAN: 9783662544266
• ISBN: 978-3-662-54426-6
• Numero di pagine: 211
• Illustrazioni: XVIII, 211 p. 120 illus., 67 illus. in color.
• Dimensioni (della confezione): 16.3 x 24.1 x 1.8 cm
• Peso (della confezione): 461 g
• Serie: Studies in Computational Intelligence > .704; Studies in Computational Intelligence
• Categorie: B, Artificial Intelligence, Biomedizinische Technik, engineering, Computational Intelligence, Biomedical Engineering and Bioengineering, Medical imaging, Biomedical engineering, stochastic optimization, Biomedical Processing, Bio-Inspired Optimization