1st Edition

Metaheuristic Algorithms in Industry 4.0

300 Pages 68 Color & 48 B/W Illustrations
by CRC Press

300 Pages 68 Color & 48 B/W Illustrations
by CRC Press

300 Pages 68 Color & 48 B/W Illustrations
by CRC Press

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... Read more

Contents

Preface.........................................................................................................................................vii

Editors.......................................................................................................................................... xi

Contributors..............................................................................................................................xiii

1. A Review on Cyber Physical Systems and Smart Computing:

Bibliometric Analysis...........................................................................................................1

Deepak Sharma, Prashant K. Gupta, and Javier Andreu-Perez

2. Design Optimization of Close-Fitting Free-Standing Acoustic Enclosure

Using Jaya Algorithm.........................................................................................................33

Ashish Khachane and Vijaykumar S. Jatti

3. A Metaheuristic Scheme for Secure Control of Cyber-Physical Systems...................47

Tua A. Tamba

4. Application of Salp Swarm Algorithm to Solve Constrained Optimization

Problems with Dynamic Penalty Approach in Real-Life Problems............................73

Omkar Kulkarni, G. M. Kakandikar, and V. M. Nandedkar

5. Optimization of Robot Path Planning Using Advanced Optimization

Techniques...........................................................................................................................83

R. V. Rao and S. Patel

6. Semi-Empirical Modeling and Jaya Optimization of White Layer

Thickness during Electrical Discharge Machining of NiTi Alloy.............................127

Mahendra Uttam Gaikwad, A. Krishnamoorthy, and Vijaykumar S. Jatti

7. Analysis of Convolution Neural Network Architectures and

Their Applications in Industry 4.0.................................................................................139

Gaurav Bansod, Shardul Khandekar, and Soumya Khurana

8. EMD-Based Triaging of Pulmonary Diseases Using Chest

Radiographs (X-Rays).......................................................................................................163

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...................................................181

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.................................................................189

K. Vanchinathan, P. Sathiskumar, and N. Selvaganesan

11. Predictive Analysis of Cellular Networks: A Survey..................................................217

Nilakshee Rajule, Radhika Menon, and Anju Kulkarni

12. Optimization Techniques and Algorithms for Dental Implants –

A Comprehensive Review...............................................................................................261

Niharika Karnik and Pankaj Dhatrak

Index..........................................................................................................................................283

Biography

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).