Metaheuristics for Machine Learning

This book is a resourceful guide to the latest insights, case studies, and advancements in machine learning. The narrative tackles multifaceted applications - spanning from the dynamic domain of machine learning to evolving spheres of technology, sustainability, and the intricate web of communication networks. Chapters are dedicated to covering multifaceted applications, spanning from the dynamic domain of machine learning to the ever-evolving spheres of technology, sustainability, and the intricate web of communication networks. The book presents the transformation of algorithms with real-world resonances that help the healthcare industry or the cutting-edge world.