This book serves as a comprehensive guide to the intersection of nature-inspired optimization and machine learning. Authored by leading experts, the book seamlessly integrates insights from computer science, biology, and mathematics to offer a panoramic view of the latest advancements in metaheuristic algorithms. You’ll find detailed yet accessible discussions of algorithmic theory alongside real-world case studies that demonstrate their practical applications in machine learning optimization.