
Автор: Sulabh Bansal, Aprna Tripathi, Shilpa Srivastava, Prem Prakash Vuppuluri
Издательство: CRC Press
Год: 2025
Страниц: 403
Язык: английский
Формат: pdf (true), epub
Размер: 37.1 MB
The purpose of this book is to provide various case studies where such nature-inspired techniques are used to solve optimization problems being faced by humans in their day-to-day life. The first chapter introduces metaheuristic algorithms and provides an overview of origins, important variants, and highlights the need and importance of metaheuristic optimization for providing solutions to real-world engineering problems. Chapter 2 provides a comprehensive overview of Quantum-Inspired Evolutionary Algorithms, detailing its foundational concepts, implementation techniques, and potential applications. Chapter 3 presents a detailed survey of various metaheuristic approaches and their application to the solution of a wide variety of single- and multi-objective engineering problems. Chapter 4 presents a hybrid system that combines lightweight encryption based on Genetic Algorithms. Chapter 5 explores the use of Genetic Algorithms (GA), Particle Swarm Optimization (PSO), and Ant Colony Optimization (ACO) for hyperparameter tuning of Convolution Neural Network (CNN) models to enhance the accuracy and efficiency of image classification models.