Metaheuristic Algorithms in Industry 4.0

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Synopsis

Due to increasing industry 4.0 practices, massive industrial process data is now available for researchers for modelling and optimization. Artificial Intelligence methods can be applied to the ever-increasing process data to achieve robust control against foreseen and unforeseen system fluctuations. Smart computing techniques, machine learning, deep learning, computer vision, for example, will be inseparable from the highly automated factories of tomorrow. Effective cybersecurity will be a must for all Internet of Things (IoT) enabled work and office spaces.  
This book addresses metaheuristics in all aspects of Industry 4.0. It covers metaheuristic applications in IoT, cyber physical systems, control systems, smart computing, artificial intelligence, sensor networks, robotics, cybersecurity, smart factory, predictive analytics and more.
Key features:

Includes industrial case studies. 
Includes chapters on cyber physical systems, machine learning, deep learning, cybersecurity, robotics, smart manufacturing and predictive analytics.
surveys current trends and challenges in metaheuristics and industry 4.0.

Metaheuristic Algorithms in Industry 4.0 provides a guiding light to engineers, researchers, students, faculty and other professionals engaged in exploring and implementing industry 4.0 solutions in various systems and processes.

Book details

Series:
Advances in Metaheuristics
Author:
Pritesh Shah, Ravi Sekhar, Anand J. Kulkarni, Patrick Siarry
ISBN:
9781000435948
Related ISBNs:
9780367698409, 9780367698393, 9781003143505
Publisher:
CRC Press
Pages:
286
Reading age:
Not specified
Includes images:
No
Date of addition:
2021-09-28
Usage restrictions:
Copyright
Copyright date:
2022
Copyright by:
N/A 
Adult content:
No
Language:
English
Categories:
Computers and Internet, Mathematics and Statistics, Nonfiction, Technology