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Ali Safaa Sadiq

Optimization Algorithms in Machine Learning: A Meta-heuristics Perspective

Optimization Algorithms in Machine Learning: A Meta-heuristics Perspective

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  • More about Optimization Algorithms in Machine Learning: A Meta-heuristics Perspective

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.

Book details

  • Publication date: 21 May 2025
  • Page count: 181
  • Dimensions: Height 235 mm; Width 155 mm
  • Publisher: Springer Nature Switzerland AG
  • Format: Hardback
  • ISBN-13: 9789819638482

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