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Springer Metaheuristic Algorithms: New Methods, Evaluation & Performance

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Description

Metaheuristic Algorithms: New Methods, Evaluation, and Performance Analysis is a comprehensive academic resource from Springer that explores cutting-edge approaches to solving complex computational problems. Part of the Studies in Computational Intelligence series (volume 1163), this book presents advanced algorithmic techniques used across artificial intelligence, optimisation, and machine learning applications. The work combines theoretical foundations with practical evaluation methodologies, making it essential reading for researchers, academics, and professionals working in computer science and AI development. Whether you are studying novel algorithm design, improving computational efficiency, or analysing performance metrics across different problem domains, this volume offers in-depth insights into contemporary metaheuristic development and real-world implementation strategies.

Key Features

Published by Springer as part of the Studies in Computational Intelligence series volume 1163.

Covers new metaheuristic algorithm methodologies for advanced problem-solving and optimisation.

Includes comprehensive evaluation frameworks and performance analysis techniques.

Suitable for researchers, academics, and professionals in computer science and artificial intelligence fields.

Combines theoretical foundations with practical applications across multiple computational domains.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
28 June 2025
Listed Since
19 July 2025

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