Bio-Inspired Next Generation Optimizing and Computing Algorithms
Description
This book focuses on the use of nature-inspired algorithms in the context of the Fourth Industrial Revolution and smart cities. It discusses the key aspects of the Fourth Industrial Revolution, including its cyber, digital, and biological domains. The book also highlights how emerging technologies-shaped by naturalistic algorithms-intersect with the development and realization of smart cities. It explores new optimization models, modeling features, and solution methodologies driven by specific applications such as VLSI IC design, cloud computing, and the Internet of Things (IoT). These applications utilize intelligent devices, smart infrastructures, advanced sensors, and machine learning across various sectors, including business, finance, industry, manufacturing, management, and environmental systems. The book presents the latest optimization approaches for a wide range of real-world application areas and serves as a valuable guide for students, academics, and professionals in the field.
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Persons
Sangeeta Singh is an Assistant Professor in the Department of Electronics and Communication Engineering at NIT Patna, India. Her research interests include beyond-CMOS devices, green electronics, steep-switching transistors, and soft computing techniques and their applications. She has been recognized as an eminent scholar in electronics and computer engineering. She has actively participated in various technical courses, workshops, and seminars at different NITs. She is currently editing two more books. She is a member of IEEE, the IEEE EDS Society, IET, and other professional organizations. She received her Ph.D. degree in Electronics and Communication Engineering.
Aay Kumar Vyas is an Associate Professor in the Department of Information and Communication Technology at Adani University, Ahmedabad, India. In addition to being a Fellow of IETE, he is a Senior Member of IEEE and a Life Member of ISTE. He has authored books and published research articles with prominent international publishers and journals. He also serves as a reviewer and editorial board member for several peer-reviewed journals. He holds an M.Tech. (Honors) in Optical Communication from Shri Govindram Seksaria Institute of Technology and Science, Indore, and a Bachelor's degree in Electronics and Communication Engineering from Government Engineering College, Ujjain.
Santosh Kumar received his Ph.D. degree from the Indian Institute of Technology (Indian School of Mines), Dhanbad, India, in 2014. He is currently a Professor and Advisor, R&D, at Koneru Lakshmaiah Education Foundation, Vaddeswaram, India. He is also a Visiting Professor at Liaocheng University, Liaocheng, China. He has published over 550 research articles in prestigious journals. His papers contribute to various Sustainable Development Goals (SDGs). His research interests include optical fiber sensors, waveflex biosensors, nanophotonics and biophotonics, and the Internet of Things. Dr. Kumar is a Fellow of SPIE and IETE, and a Senior Member of IEEE and OPTICA. He also serves as an Associate Editor for Scientific Reports , IEEE Internet of Things , and Biomedical Optics Express .
Content
Introduction to VLSI ICs Designing Technology.- Explanatory Aspects of Bio-Inspired Computing.- VLSI ICs Designing Basics.- AI-Driven Innovations in VLSI IC Design: Bridging Traditional Techniques with Machine Learning Optimization.- Bio-inspired Next Generation Optimization Algorithms at SoC Level.- Evolutionary and Biological Optimization Techniques in Design of Digital Systems.- Generative AI in Electronics Engineering: A Comprehensive Analysis of Applications in Circuit Design, Manufacturing, Testing, and Optimization.- Bio-inspired Optimization algorithms for the Internet of Things (IoTs).- Decentralized IoT Systems Inspired by Biological Networks.- Bio-inspired Optimization algorithms for Smart Cities.- EEMR-PSO-CUCKOO: Energy Efficient MANET Routing Using Hybrid PSO and CUCKOO Search.- Bio-inspired optimization algorithm for E-healthcare watermarking.