Evolutionary Computation with Intelligent Systems: A Multidisciplinary Approach to Society 5.0

by R.S. Chauhan (Editor), Kavita Taneja (Editor), Rajiv Khanduja (Editor), Vishal Kamra (Editor), Rahul Rattan (Editor)

Overview

This book focuses on cutting-edge innovations and core theories, principles, and algorithms applicable to a wide area. Real-life applications, case studies, and examples are included along with emerging trends, design, and optimized solutions pivoting around the needs of Society 5.0.

Evolutionary Computation with Intelligent Systems: A Multidisciplinary Approach to Society 5.0 provides a holistic view of evolutionary computation techniques including principles, procedures, and future applications with real-life examples. The book comprehensively explains evolutionary computation, design, principles, development trends, and optimization and describes how it can transform the operating context of the organization. It exemplifies the potential of evolutionary computation for the next generation and the role of cloud computing in shaping Society 5.0. It also provides insight into various platforms, paradigms, techniques, and tools used in diverse fields.

This book appeals to a variety of readers such as academicians, researchers, research scholars, and postgraduates.

Product Details

ISBN-13:	9780367744939
Publisher:	CRC Press
Publication date:	03/29/2022
Series:	Demystifying Technologies for Computational Excellence
Pages:	323
Product dimensions:	6.12(w) x 9.19(h) x (d)

About the Author

R.S. Chauhan, is working as Additional Director & Professor in the Department of Electronics & Communication Engg., Haryana Engg. College, Jagadhri, Dist. Yamuna Nagar (Haryana), INDIA. He received Instrumentation and Control Engineering degree from the Regional Engineering College (Now known as N.I.T.Jalandhar), Jalandhar (Punjab), M.Tech. degree in Electronic and Communication Engg. from G.N.E.Ludhiana (Punjab) and Ph.D. degrees in Electronics and Comm. Engg. from Guru Jambheshwar University of Sci. and Tech., Hisar (Haryana). He is having more than 21 years experience in teaching and research. He has delivered keynote lectures, guest lectures, and published numerous papers in Journals and conferences. Also author of book entitled Linear control systems. His research areas include Digital signal processing, Evolutionary Computation and Artificial intelligence.

Kavita Taneja is an Assistant Professor at Panjab University, Chandigarh. She obtained her Ph.D. in Computer Science and Applications from Kurukshetra University, Kurukshetra, India. She has published and presented over 60 papers in National/International Journals / Conferences and has bagged best paper awards in many Conferences including IEEE, Springer, Elsevier, ACM and many more. She is reviewer of many reputed Journals and has been Technical Program Committee member of many conferences. She has also authored and edited computer books. She has more than 18 years of teaching experience in various Technical institutions and Universities. She is also member of BoM, Academic Council and Board of Studies of many Universities and Institutions. She has guided scholars of Ph.D. / M.Phils., more than 100 PG students of various universities and currently 04 students are pursuing Ph.D. under her guidance at Panjab University. Her teaching and research activities include Mobile Ad hoc Networks, Simulation and Modelling and Wireless Communications.

Rajiv Khanduja is Professor& Head in the Department of Mechanical Engineering at Jawaharlal Nehru Govt. Engg. College, Sundernagar, Dist. Mandi, H.P. (175019) India. He received his Bachelor of Technology (B.Tech.) degree from Gulbarga University, Gulbarga (India) in 1992. He did his Master of Technology in 2002 and Ph.D. in 2010 from the National Institute of Technology, Kurukshetra. He has 25 years experience in teaching and research. He has published about 35 research papers in reputed international and national journals. He has also presented 25 papers at international and national conferences. His research areas include industrial processes, reliability engineering and maintainability engineering.

Vishal Kamra received his Ph.D. in business management from LM Thapar School of Management, Thapar University, Patiala. His research interest involves Marketing Management, Total Quality Management, Service Marketing, Health Care. Presently, he is working as Sr. Assistant Professor at Amity school of business, Amity University, Noida, U.P. (201313). He has 11 years experience in teaching and 03 years in industry. He has already served at NIT Kurukshetra, Thapar University, Patiala and GL Bajaj Greater, Noida. He has published number of papers in reputed international and national journals. He has organized various international and national conferences. He is also on editorial boards of various reputed journals as associate editor and reviewer.

Rahul Rattan is working as Faculty and Research Investigator in Department of Cardiology-Internal Medicine at Michigan Medicine, The University of Michigan, Ann Arbor. He received his Post-Doctorate, Ph.D. and MSE in Biomedical Engineering from the University of Michigan, Ann Arbor, USA. He is the editor for Archives in Cancer Research and has multiple peer reviewed articles from Drug Delivery and Translational Research, Nano Reviews and Experiments, Translational Biomedicine, PLOS ONE, Gene Reports and many more. His research interests include heart failure, atherosclerosis, glycocalyx.

Table of Contents

SECTION A: Principles, Types, Theories, and Applications of Evolutionary Computation. 1. Evolutionary Computation for Optimized Solutions Towards Society 5.0. 2. Exploiting Machine Learning for Evolutionary Training of Machines. 3. Image Processing for Knowledge Management and Effective Information Extraction Through Optimization. 4. Evolutionary Computation Framework for Handling Resource Constraint Mobile Environments. SECTION B: Evolutionary Computation: Emerging Trends and Implications. 5. Smart Systems for Global Sustainability with Enhanced Computing. 6. Recommender System: Techniques for Optimized Decision Making. 7. Innovations in Healthcare Using Smart Systems Equipped with Evolutionary Computation. 8. Exploiting Evolutionary Computation Techniques for Service Industries. SECTION C: Next Generation Evolutionary Computation Techniques and Innovations. 9. Performance Analysis of Industrial Unit Using Evolutionary Computation Methods. 10. Reliability and Availability System Modeling with Evolutionary Computation Techniques. 11. Maintainability of System Through Evolutionary Computation Techniques. 12. Simulation and Analysis of Quadratic Assignment Problems Using Evolutionary. Computation. SECTION D: Evolutionary Computation for Society and Business Organizations. 13. Evolutionary Computation for Total Quality Management. 14. Consumer Behavior and Satisfaction Through Evolutionary Computation. 15. Decision Support System and Marketing Using Evolutionary Computation Techniques. 16. Performance Modeling and Optimization for the Stock Preparation with Evolutionary Computation.