Overview
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.
The book, Optimization Algorithms in Machine Learning: A Meta-heuristics Perspective (Engineering Optimization: Methods and Applications) [Bulk, Wholesale, Quantity] ISBN#9789819638482 in Hardcover by Debashish Das, Ali Safaa Sadiq, Seyedali Mirjalili may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.
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