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Metaheuristics for medicine and biology

Nakib, Amir.

Metaheuristics for medicine and biology

Record Type:	Electronic resources : Monograph/item
Title/Author:	Metaheuristics for medicine and biologyedited by Amir Nakib, El-Ghazali Talbi.
other author:	Nakib, Amir.
Published:	Berlin, Heidelberg :Springer Berlin Heidelberg :2017.
Description:	xviii, 211 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Computational intelligence.
Online resource:	http://dx.doi.org/10.1007/978-3-662-54428-0
ISBN:	9783662544280$q(electronic bk.)

Metaheuristics for medicine and biology
Metaheuristics for medicine and biology[electronic resource] /edited by Amir Nakib, El-Ghazali Talbi. - Berlin, Heidelberg :Springer Berlin Heidelberg :2017. - xviii, 211 p. :ill. (some col.), digital ;24 cm. - Studies in computational intelligence,v.7041860-949X ;. - Studies in computational intelligence ;v. 216..

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.

ISBN: 9783662544280$q(electronic bk.)

Standard No.: 10.1007/978-3-662-54428-0doiSubjects--Topical Terms:

210824
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Metaheuristics for medicine and biology
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245 0 0 $a Metaheuristics for medicine and biology $h [electronic resource] / $c edited by Amir Nakib, El-Ghazali Talbi.
260 $a Berlin, Heidelberg : $b Springer Berlin Heidelberg : $b Imprint: Springer, $c 2017.
300 $a xviii, 211 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Studies in computational intelligence, $x 1860-949X ; $v v.704
520 $a 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.
650 0 $a Computational intelligence. $3 210824
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650 2 4 $a Biomedical Engineering. $3 190464
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 252959
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700 1 $a Talbi, El-Ghazali. $3 737126
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