Optimization Algorithms in Machine Learning: A Meta-heuristics Perspective

by Debashish Das, Ali Safaa Sadiq, Seyedali Mirjalili

This book explores the development of several new learning algorithms that utilize recent optimization techniques and meta-heuristics. It addresses well-known models such as particle swarm optimization, genetic algorithm, ant colony optimization, evolutionary strategy, population-based incremental learning, and grey wolf optimizer for training neural networks. Additionally, the book examines the challenges associated with these processes in detail. This volume will serve as a valuable reference for individuals in both academia and industry. 

198 pages, Hardcover

Published May 21, 2025