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Metaheuristics for medicine and biology

Nakib, Amir.

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Metaheuristics for medicine and biology

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Metaheuristics for medicine and biology/ edited by Amir Nakib, El-Ghazali Talbi.
其他作者:	Nakib, Amir.
出版者:	Berlin, Heidelberg :Springer Berlin Heidelberg : : 2017.,
面頁冊數:	xviii, 211 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
標題:	Computational intelligence. -
電子資源:	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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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.
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