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Computational methods for applicatio...

Davim, J. Paulo.

Computational methods for application in industry 4.0

Record Type:	Electronic resources : Monograph/item
Title/Author:	Computational methods for application in industry 4.0by 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.
Contained By:	Springer eBooks
Subject:	Mathematical optimization.
Online resource:	http://dx.doi.org/10.1007/978-3-319-92393-2
ISBN:	9783319923932$q(electronic bk.)

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$q(electronic bk.)

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

183292
Mathematical optimization.

LC Class. No.: QA402.5

Dewey Class. No.: 519.6

Computational methods for application in industry 4.0
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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.
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300 $a viii, 67 p. : $b ill. (some col.), digital ; $c 24 cm.
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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.
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