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Engineering Optimization: Methods and Applications

Engineering Optimization: Methods and Applications: A Meta-heuristics Perspective

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Engineering Optimization: Methods and Applications: A Meta-heuristics Perspective

Das, Debashish; Sadiq, Ali Safaa; Mirjalili, Seyedali

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. 

Details

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

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