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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.
Published by: Springer
Publication Date: 2025-05-21
Format: Hardcover
ISBN-13: 9789819638482
DOI: 10.1007/978-981-96-3849-9
Dimensions: 235cm x155cm
Pages: 181