Full 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.
Contents
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.
