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Springer Optimization Algorithms in Machine Learning: A Meta-heuristics Perspective (Engineering Optimization: Methods and Applications)

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Description

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.

Product Specifications

Format
Hardcover
Domain
Amazon UK
Release Date
21 May 2025
Listed Since
23 January 2025

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