Metaheuristic Algorithms in Industry 4.0
1st Edition
Published on 7. October 2024
Book
Paperback/Softback
286 pages
978-0-367-69840-9 (ISBN)
Description
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.
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.
More details
Series
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
College/higher education
Academic, Postgraduate, and Professional
Product notice
Paperback (trade)
Unsewn / adhesive bound
Illustrations
48 s/w Abbildungen, 68 farbige Abbildungen, 6 s/w Photographien bzw. Rasterbilder, 3 Farbfotos bzw. farbige Rasterbilder, 42 s/w Zeichnungen, 65 farbige Zeichnungen, 76 s/w Tabellen
76 Tables, black and white; 65 Line drawings, color; 42 Line drawings, black and white; 3 Halftones, color; 6 Halftones, black and white; 68 Illustrations, color; 48 Illustrations, black and white
Dimensions
Height: 246 mm
Width: 174 mm
Thickness: 16 mm
Weight
499 gr
ISBN-13
978-0-367-69840-9 (9780367698409)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Pritesh Shah | Ravi Sekhar | Anand J. Kulkarni
Metaheuristic Algorithms in Industry 4.0
Book
09/2021
1st Edition
CRC Press
€168.40
Shipment within 15-20 days
Pritesh Shah | Ravi Sekhar | Anand J. Kulkarni
Metaheuristic Algorithms in Industry 4.0
E-Book
09/2021
1st Edition
CRC Press
€61.99
Available for download
Pritesh Shah | Ravi Sekhar | Anand J. Kulkarni
Metaheuristic Algorithms in Industry 4.0
E-Book
09/2021
1st Edition
CRC Press
€61.99
Available for download
Persons
Pritesh Shah is an Associate Professor at the Symbiosis Institute of Technology, Symbiosis International (Deemed University), India.
Ravi Sekhar is an Assistant Professor at the Symbiosis Institute of Technology, Symbiosis International (Deemed University), India.
Anand J. Kulkarni is an Associate Professor at the Symbiosis Center for Research and Innovation, Symbiosis International (Deemed University), India.
Patrick Siarry is a Professor of Automatics and Informatics at the University of Paris-Est Creteil, where he leads the Image and Signal Processing team in the Laboratoire Images, Signaux et Systemes Intelligents (LiSSi).
Ravi Sekhar is an Assistant Professor at the Symbiosis Institute of Technology, Symbiosis International (Deemed University), India.
Anand J. Kulkarni is an Associate Professor at the Symbiosis Center for Research and Innovation, Symbiosis International (Deemed University), India.
Patrick Siarry is a Professor of Automatics and Informatics at the University of Paris-Est Creteil, where he leads the Image and Signal Processing team in the Laboratoire Images, Signaux et Systemes Intelligents (LiSSi).
Content
Contents
Preface
Editors
Contributors
1. A Review on Cyber Physical Systems and Smart Computing: Bibliometric Analysis
Deepak Sharma, Prashant K. Gupta, and Javier Andreu-Perez
2. Design Optimization of Close-Fitting Free-Standing Acoustic Enclosure Using Jaya Algorithm
Ashish Khachane and Vijaykumar S. Jatti
3. A Metaheuristic Scheme for Secure Control of Cyber-Physical Systems
Tua A. Tamba
4. Application of Salp Swarm Algorithm to Solve Constrained Optimization Problems with Dynamic Penalty Approach in Real-Life Problems
Omkar Kulkarni, G. M. Kakandikar, and V. M. Nandedkar
5. Optimization of Robot Path Planning Using Advanced Optimization Techniques
R. V. Rao and S. Patel
6. Semi-Empirical Modeling and Jaya Optimization of White Layer Thickness during Electrical Discharge Machining of NiTi Alloy
Mahendra Uttam Gaikwad, A. Krishnamoorthy, and Vijaykumar S. Jatti
7. Analysis of Convolution Neural Network Architectures and
Their Applications in Industry 4.0
Gaurav Bansod, Shardul Khandekar, and Soumya Khurana
8. EMD-Based Triaging of Pulmonary Diseases Using Chest Radiographs (X-Rays)
Niranjan Chavan, Priya Ranjan, Uday Kumar, Kumar Dron Shrivastav, and Rajiv Janardhanan
9. Adaptive Neuro Fuzzy Inference System to Predict Material Removal Rate during Cryo-Treated Electric Discharge Machining
Vaibhav S. Gaikwad, Vijaykumar S. Jatti, Satish S. Chinchanikar, and Keshav N. Nandurkar
10. A Metaheuristic Optimization Algorithm-Based Speed Controller for Brushless DC Motor: Industrial Case Study
K. Vanchinathan, P. Sathiskumar, and N. Selvaganesan
11. Predictive Analysis of Cellular Networks: A Survey
Nilakshee Rajule, Radhika Menon, and Anju Kulkarni
12. Optimization Techniques and Algorithms for Dental Implants - A Comprehensive Review
Niharika Karnik and Pankaj Dhatrak
Index
Preface
Editors
Contributors
1. A Review on Cyber Physical Systems and Smart Computing: Bibliometric Analysis
Deepak Sharma, Prashant K. Gupta, and Javier Andreu-Perez
2. Design Optimization of Close-Fitting Free-Standing Acoustic Enclosure Using Jaya Algorithm
Ashish Khachane and Vijaykumar S. Jatti
3. A Metaheuristic Scheme for Secure Control of Cyber-Physical Systems
Tua A. Tamba
4. Application of Salp Swarm Algorithm to Solve Constrained Optimization Problems with Dynamic Penalty Approach in Real-Life Problems
Omkar Kulkarni, G. M. Kakandikar, and V. M. Nandedkar
5. Optimization of Robot Path Planning Using Advanced Optimization Techniques
R. V. Rao and S. Patel
6. Semi-Empirical Modeling and Jaya Optimization of White Layer Thickness during Electrical Discharge Machining of NiTi Alloy
Mahendra Uttam Gaikwad, A. Krishnamoorthy, and Vijaykumar S. Jatti
7. Analysis of Convolution Neural Network Architectures and
Their Applications in Industry 4.0
Gaurav Bansod, Shardul Khandekar, and Soumya Khurana
8. EMD-Based Triaging of Pulmonary Diseases Using Chest Radiographs (X-Rays)
Niranjan Chavan, Priya Ranjan, Uday Kumar, Kumar Dron Shrivastav, and Rajiv Janardhanan
9. Adaptive Neuro Fuzzy Inference System to Predict Material Removal Rate during Cryo-Treated Electric Discharge Machining
Vaibhav S. Gaikwad, Vijaykumar S. Jatti, Satish S. Chinchanikar, and Keshav N. Nandurkar
10. A Metaheuristic Optimization Algorithm-Based Speed Controller for Brushless DC Motor: Industrial Case Study
K. Vanchinathan, P. Sathiskumar, and N. Selvaganesan
11. Predictive Analysis of Cellular Networks: A Survey
Nilakshee Rajule, Radhika Menon, and Anju Kulkarni
12. Optimization Techniques and Algorithms for Dental Implants - A Comprehensive Review
Niharika Karnik and Pankaj Dhatrak
Index