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Metaheuristics for medicine and biology

Nakib, Amir.

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Metaheuristics for medicine and biology

Record Type:	Electronic resources : Monograph/item
Title/Author:	Metaheuristics for medicine and biology/ edited 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

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.704..

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

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

595739
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Metaheuristics for medicine and biology
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020 $a 9783662544266 $q (paper)
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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 595739
650 0 $a Mathematical optimization. $3 517763
650 1 4 $a Engineering. $3 586835
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Biomedical Engineering. $3 720279
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 890894
700 1 $a Nakib, Amir. $3 3227191
700 1 $a Talbi, El-Ghazali. $3 2179359
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Studies in computational intelligence ; $v v.704. $3 3227192
856 4 0 $u http://dx.doi.org/10.1007/978-3-662-54428-0
950 $a Engineering (Springer-11647)