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Metaheuristic and Machine Learning Optimization Strategies Book

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Description

In modern engineering, managing vast amounts of data requires efficient decision-making and optimization. This book explores how processing times and memory usage can be managed through advanced computational methods. It focuses on the development of novel heuristic algorithms to reduce computational costs. By examining the convergence of machine learning and metaheuristic algorithms, this text provides a promising approach to solving complex systems challenges. This resource is part of the Advances in Systems Analysis, Software Engineering, and High Performance Computing series, making it a valuable addition for those studying complex system optimization.

Key Features

Explores the convergence of machine learning and metaheuristic algorithms to address modern engineering challenges.

Discusses methods for reducing computational costs and managing large-scale data processing requirements.

Provides insights into the development of novel heuristic algorithms for complex systems.

Part of the Advances in Systems Analysis, Software Engineering, and High Performance Computing series.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
17 July 2024
Listed Since
22 July 2024

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