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Metaheuristics for Medicine and Biology / edited by Amir Nakib, El-Ghazali Talbi.

Contributor(s): Material type: TextTextSeries: Studies in Computational Intelligence ; 704Publication details: USA: Springer, 2017Edition: 1st ed. 2017Description: 1 online resource (XVIII, 211 pages 120 illustrations, 67 illustrations in color.)ISBN:
  • 9783662544280
Subject(s): Additional physical formats: Print version:: Metaheuristics for medicine and biology.; Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 006.3 23
Summary: 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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Item type Current library Call number Status Date due Barcode
Book Book The National Library of Chemical Sciences, HEJ Research Institute of Chemistry (HEJ) Library QA76.87.N35 _2017 (Browse shelf(Opens below)) Available 8932

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.