Dr. Harish Sharma is an Associate Professor at the Department of Computer Science & Engineering, Rajasthan Technical University, Kota. He is the secretary and a founder member of the Soft Computing Research Society of India. He is an associate editor of the International Journal of Swarm Intelligence (IJSI), published by Inderscience, and has also edited special issues of the journals Memetic Computing and Journal of Experimental and Theoretical Artificial Intelligence. His primary area of interest is nature-inspired optimization techniques. He has published more than 45 papers in various international journals and conferences. Dr. Kannan Govindan is a Professor of Operations & Supply Chain Management and Head of the Centre for Sustainable Supply Chain Engineering, Department of Technology and Innovation, University of Southern Denmark, Odense. He has published 250 peer-reviewed research articles in journals and books and at conferences. With over 17000 citations and an H-index of 70, he is one of the most influential supply chain engineering researchers in the world. He is editor-in-chief of the International Journal of Business Performance and Supply Chain Modelling and International Journal of Advanced Operations Management. Dr. Ramesh C. Poonia is a Postdoctoral Fellow at the Cyber-Physical Systems Laboratory (CPS Lab), Department of ICT and Natural Sciences, Norwegian University of Science and Technology (NTNU), Alesund. He is chief editor of TARU Journal of Sustainable Technologies and Computing (TJSTC) and associate editor of the Journal of Sustainable Computing: Informatics and Systems, Elsevier. He has authored/co-authored over 65 research publications in respected peer-reviewed journals, book chapters, and conference proceedings. Dr. Sandeep Kumar is an Assistant Professor at Amity University Rajasthan, India. Dr. Kumar holds a Ph.D. degree in Computer Science & Engineering, 2015; M. Tech. degree from RTU, Kota, 2008; B.E. degree from Engineering College, Kota, 2005. He worked as guest editor for special issues in IJIIDS, IJARGE, IJESD, RPCS, IJGUC, and WREMSD. He has published more than 50 research papers in various peer-reviewed journals and conferences. Dr. Wael Elmedany is currently an Associate Professor at the University of Bahrain, Kingdom of Bahrain, and senior member of the IEEE Society. He holds a Ph.D. degree in Electrical Engineering, from Manchester University, UK, (1999); and an M.Sc. degree in Computer Communications, Menoufia University, Egypt, (1991). He is the founder and managing editor of the International Journal of Computing and Digital Systems (IJCDS), and founder and organizer of MobiApps, DPNoC, and WoTBD workshops and symposium series. He has written over forty research publications and attended several national and international conferences and workshops.

• Chapter 1. Intuitionistic Fuzzy Shannon Entropy Weight Based Multi Criteria Decision Model with TOPSIS to Analyse Security Risks and Select Online Transaction Method.- Chapter 2. Fermat Spiral Based Moth-Flame Optimization Algorithm for Object-Oriented Testing.- Chapter 3. A Comparative Study of Information Retrieval Using Machine Learning.- Chapter 4. Adaptive Background Subtraction Using Manual Approach for Static Images.- Chapter 5. Tweets Daily: Categorised News from Twitter.- Chapter 6. Compressing Meta Class Files through String Optimization.- Chapter 7. An Algorithm to Generate Largest Prime Number.- Chapter 8. Development of a Discretization Methodology for 2.5D Milling Toolpath optimization Using Genetic Algorithm.- Chapter 9. Machine Learning Based Prediction of PM 2.5 Pollution Level in Delhi.- Chapter 10. A Comparative Study of Load Balancing Algorithms in a Cloud Environment.- Chapter 11. Information Retrieval from Search Engine Using Particle Swarm Optimization.- Chapter12. Genetic Algorithm Based Multi Objective Optimization Framework to Solve Travelling Salesman Problem.- Chapter 13. Design of Optimal PID Controller for Varied System Using Teaching-Learning-Based Optimization.- Chapter 14. Innovative Review on Artificial Bee Colony Algorithm and it’s Variants.- Chapter 15. Multi Linear Regression Model to Predict Correlation between IT Graduate Attributes for Employability using R.