METAHEURISTIC ALGORITHMS IN INDUSTRY 4.0 (Record no. 71372)

000 -LEADER
fixed length control field 03258cam a2200529M 4500
001 - CONTROL NUMBER
control field 9781003143505
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220711212459.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 210811s2021 xx o 0|| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781000435948
-- (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 1000435946
-- (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781003143505
-- (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 1003143504
-- (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781000435986
-- (electronic bk. : EPUB)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 1000435989
-- (electronic bk. : EPUB)
082 04 - CLASSIFICATION NUMBER
Call Number 519.6
245 00 - TITLE STATEMENT
Title METAHEURISTIC ALGORITHMS IN INDUSTRY 4.0
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication [S.l.] :
Publisher CRC PRESS,
Year of publication 2021.
300 ## - PHYSICAL DESCRIPTION
Number of Pages 1 online resource
520 ## - SUMMARY, ETC.
Summary, etc 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 4.0provides 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.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
General subdivision Industrial applications.
700 1# - AUTHOR 2
Author 2 Shah, Pritesh,
700 1# - AUTHOR 2
Author 2 Sekhar, Ravi,
700 1# - AUTHOR 2
Author 2 Kulkarni, Anand Jayant,
700 1# - AUTHOR 2
Author 2 Siarry, Patrick,
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://www.taylorfrancis.com/books/9781003143505
856 42 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
588 ## -
-- OCLC-licensed vendor bibliographic record.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Metaheuristics
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Mathematical optimization.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Industry 4.0.
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1
-- COMPUTERS / Computer Graphics / Game Programming & Design
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1
-- COMPUTERS / Data Processing / General
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1
-- COMPUTERS / Machine Theory

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