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© 2017

Metaheuristics for Medicine and Biology

  • Amir Nakib
  • El-Ghazali Talbi

Benefits

  • Includes recent research on metaheuristics for biomedical engineering

  • Explores both theoretical and applications aspects

  • Written by leading experts in the field

Book

Part of the Studies in Computational Intelligence book series (SCI, volume 704)

Table of contents

About this book

Introduction

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.

Keywords

Biomedical Engineering Computational Intelligence Metaheuristics Optimization Image Processing Signal Processing Stochastic Optimization Bio-Inspired Optimization Medical Imaging Biomedical Processing

Editors and affiliations

  • Amir Nakib
    • 1
  • El-Ghazali Talbi
    • 2
  1. 1.Signaux et Systèmes IntelligentsUniversité Paris Est Créteil, Laboratoire ImagesCréteilFrance
  2. 2.INRIA Lille Nord Europe Parc Scientifique de la Haute BorneLaboratoire d'Informatique Fondamentale de Lille (UMR CNRS 8022)Villeneuve d'AscqFrance

Bibliographic information

  • Book Title Metaheuristics for Medicine and Biology
  • Editors Amir Nakib
    El-Ghazali Talbi
  • Series Title Studies in Computational Intelligence
  • Series Abbreviated Title Studies Comp.Intelligence
  • DOI https://doi.org/10.1007/978-3-662-54428-0
  • Copyright Information Springer-Verlag GmbH Germany 2017
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering Engineering (R0)
  • Hardcover ISBN 978-3-662-54426-6
  • Softcover ISBN 978-3-662-57196-5
  • eBook ISBN 978-3-662-54428-0
  • Series ISSN 1860-949X
  • Series E-ISSN 1860-9503
  • Edition Number 1
  • Number of Pages XVIII, 211
  • Number of Illustrations 53 b/w illustrations, 67 illustrations in colour
  • Topics Computational Intelligence
    Biomedical Engineering and Bioengineering
    Artificial Intelligence
  • Buy this book on publisher's site
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