Metaheuristic Algorithms in Industry 4.0
CRC Press (Verlag)
978-0-367-69840-9 (ISBN)
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.
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).
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
| Erscheinungsdatum | 06.08.2021 |
|---|---|
| Reihe/Serie | Advances in Metaheuristics |
| Zusatzinfo | 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 |
| Verlagsort | London |
| Sprache | englisch |
| Maße | 174 x 246 mm |
| Gewicht | 553 g |
| Themenwelt | Informatik ► Software Entwicklung ► Spieleprogrammierung |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| ISBN-10 | 0-367-69840-4 / 0367698404 |
| ISBN-13 | 978-0-367-69840-9 / 9780367698409 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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