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Computational methods for applicatio...

Karkalos, Nikolaos E.

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Computational methods for application in industry 4.0

Record Type:	Electronic resources : Monograph/item
Title/Author:	Computational methods for application in industry 4.0/ by Nikolaos E. Karkalos, Angelos P. Markopoulos, J. Paulo Davim.
Author:	Karkalos, Nikolaos E.
other author:	Markopoulos, Angelos P.
Published:	Cham :Springer International Publishing : : 2019.,
Description:	viii, 67 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	General aspects and definitions -- Literature Review -- Evolution based methods -- Swarm intelligence based methods -- Other methods -- Case studies and conclusions.
Contained By:	Springer eBooks
Subject:	Mathematical optimization. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-92393-2
ISBN:	9783319923932

Computational methods for application in industry 4.0
Karkalos, Nikolaos E.

Computational methods for application in industry 4.0[electronic resource] /by Nikolaos E. Karkalos, Angelos P. Markopoulos, J. Paulo Davim. - Cham :Springer International Publishing :2019. - viii, 67 p. :ill. (some col.), digital ;24 cm. - SpringerBriefs in applied sciences and technology,2191-530X. - SpringerBriefs in applied sciences and technology..

General aspects and definitions -- Literature Review -- Evolution based methods -- Swarm intelligence based methods -- Other methods -- Case studies and conclusions.

This book presents computational and statistical methods used by intelligent systems within the concept of Industry 4.0. The methods include among others evolution-based and swarm intelligence-based methods. Each method is explained in its fundamental aspects, while some notable bibliography is provided for further reading. This book describes each methods' principles and compares them. It is intended for researchers who are new in computational and statistical methods but also to experienced users.

ISBN: 9783319923932

Standard No.: 10.1007/978-3-319-92393-2doiSubjects--Topical Terms:

517763
Mathematical optimization.

LC Class. No.: QA402.5

Dewey Class. No.: 519.6

Computational methods for application in industry 4.0
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100 1 $a Karkalos, Nikolaos E. $3 3377972
245 1 0 $a Computational methods for application in industry 4.0 $h [electronic resource] / $c by Nikolaos E. Karkalos, Angelos P. Markopoulos, J. Paulo Davim.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a viii, 67 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a SpringerBriefs in applied sciences and technology, $x 2191-530X
505 0 $a General aspects and definitions -- Literature Review -- Evolution based methods -- Swarm intelligence based methods -- Other methods -- Case studies and conclusions.
520 $a This book presents computational and statistical methods used by intelligent systems within the concept of Industry 4.0. The methods include among others evolution-based and swarm intelligence-based methods. Each method is explained in its fundamental aspects, while some notable bibliography is provided for further reading. This book describes each methods' principles and compares them. It is intended for researchers who are new in computational and statistical methods but also to experienced users.
650 0 $a Mathematical optimization. $3 517763
650 1 4 $a Engineering. $3 586835
650 2 4 $a Manufacturing, Machines, Tools. $3 891025
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Engineering Mathematics. $3 3301900
700 1 $a Markopoulos, Angelos P. $3 3377973
700 1 $a Davim, J. Paulo. $3 907796
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