This book features selected research papers presented at the International Conference on Evolutionary Computing and Mobile Sustainable Networks (ICECMSN 2020), held at the Sir M. Visvesvaraya Institute of Technology on 20-21 February 2020. Discussing advances in evolutionary computing technologies, including swarm intelligence algorithms and other evolutionary algorithm paradigms which are emerging as widely accepted descriptors for mobile sustainable networks virtualization, optimization and automation, this book is a valuable resource for researchers in the field of evolutionary computing and mobile sustainable networks.

Autorentext

Dr. Suma V. holds a B.E. in Information Science and Technology, M.S. in Software Systems and Ph.D. in Computer Science and Engineering. Currently, she is working as Dean of the Research and Industry Incubation Centre, and a Professor at the Department of Information Science and Engineering, Dayananda Sagar College of Engineering, Bangalore, India. She has more than 17 years of teaching experience and has published over 180 papers, including research articles published in leading international journals, such as ACM, ASQ, Crosstalk, IET Software, and journals published by MIT and Dartmouth College in the USA. Her research has also been published on NASA, UNI Trier, Microsoft, CERN, IEEE, ACM and Springer portals.

Dr. Noureddine Bouhmala completed his Candidatus Magisterii in Computer Science at the University of Bergen, Norway in 1992, and completed his Ph.D. in Computer Science at the University of Neuchâtel, Switzerland in 1998 (funded by the Swiss National Science Foundation). Currently, he is working as an Associate Professor at the Faculty of Technology and Maritime Innovation at the University SouthEast, and the Faculty of Engineering and Sciences at Agder University, both in Norway. He has more than 25 years of teaching and research experience, and has published numerous research papers in international journals and international conferences. He is also an editorial board member for various respected international journals. His areas of interest include artificial intelligence, machine learning, optimization algorithms, parallel computing, data mining, autonomic and safety-critical systems.

Dr. Haoxiang Wang is currently the Director and lead executive faculty member of GoPerception Laboratory, New York, USA. His research interests include multimedia information processing, pattern recognition and machine learning, remote sensing image processing and data-driven business intelligence. He has co-authored over 60 papers in these fields in journals such as MTAP, Cluster Computing, IEEE TII, Communications Magazine, Computers & Electrical Engineering, Computers, Environment and Urban Systems, Optik, Sustainable Computing: Informatics and Systems, Journal of Computational Science, Pattern Recognition Letters, Information Sciences, Computers in Industry, Future Generation Computer Systems, International Journal of Computers and Applications, and at conference such as IEEE SMC, ICPR, ICTAI, ICICI, CCIS, ICACI. He is a guest editor for IEEE Transactions on Industrial Informatics, IEEE Consumer Electronics Magazine, Multimedia Tools and Applications, MDPI Sustainability, International Journal of Information and Computer Security, Journal of Medical Imaging and Health Informatics, Concurrency and Computation: Practice and Experience.

Inhalt
Optimal Resource Sharing amongst Device-to-Device Communication using Particle Swarm Algorithm.- Real Time Human Locator and Advance Home Security Appliances.- A Novel Implementation of Haptic Robotic Arm.- Design of Book Recommendation System Using Sentiment Analysis.- Review of Python for Solar Photovoltaic Systems.- Key Stroke Dynamics for User Verification.- The Role of Predictive Data Analytics in Retailing.- Improved Scheduling Algorithm for Load Balancing in Cloud Computing.- Generating Automobile Images Dynamically from Text Description.- Generating Automobile Images Dynamically from Text Description.- Identification of Online Auction Bidding Robots using Machine Learning.- Analysis of Attention Deficit Hyperactivity Disorder using Various Classifiers.- Generating Feasible Path Between Path Testing and Data Flow Testing.- Parking Management System Using Internet of Things.- Binomial Logistic Regression Resource Optimized Routing In MANET.- Homo Sapiens Sapiens Diabetes Mellitus Detection and Classification.- Improved Logistic Map based Algorithm for Biometric Image Encryption.- Accuracy Analysis of Similarity Measures in Surprise Framework.- Tunable Access Control for Data Sharing in Cloud.- Conceptual Online Education using E-Learning Platform of Cloud Computing.- Efficient Deployment of Web Application in Serverless Environment.