Computational Methods for Application in Industry 4.0

✍ Scribed by Nikolaos E. Karkalos, Angelos P. Markopoulos, J. Paulo Davim

Publisher: Springer International Publishing
Year: 2019
Tongue: English
Leaves: 74
Series: SpringerBriefs in Applied Sciences and Technology
Edition: 1st ed.
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

✦ Table of Contents

Front Matter ....Pages i-viii
General Aspects of the Application of Computational Methods in Industry 4.0 (Nikolaos E. Karkalos, Angelos P. Markopoulos, J. Paulo Davim)....Pages 1-10
Evolutionary-Based Methods (Nikolaos E. Karkalos, Angelos P. Markopoulos, J. Paulo Davim)....Pages 11-31
Swarm Intelligence-Based Methods (Nikolaos E. Karkalos, Angelos P. Markopoulos, J. Paulo Davim)....Pages 33-55
Other Computational Methods for Optimization (Nikolaos E. Karkalos, Angelos P. Markopoulos, J. Paulo Davim)....Pages 57-67

✦ Subjects

Engineering; Manufacturing, Machines, Tools; Computational Intelligence; Engineering Mathematics

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