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Springer Metaheuristic Optimization: Nature-Inspired Algorithms - Springer

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Description

Metaheuristic Optimization: Nature-Inspired Algorithms Swarm and Computational Intelligence, Theory and Applications is volume 927 in Springer's Studies in Computational Intelligence series. This comprehensive academic text explores swarm intelligence and nature-inspired computational methods used to solve complex optimisation problems across industries. The book combines theoretical foundations with practical applications, offering researchers and practitioners insights into how algorithms modelled on biological systems can address real-world challenges. Part of a respected scientific publishing series, this work serves engineers, computer scientists and academics seeking to understand and implement cutting-edge optimisation techniques rooted in natural processes and swarm behaviour.

Key Features

Covers nature-inspired algorithms and swarm intelligence approaches to solving computational optimisation problems.

Part of Springer's Studies in Computational Intelligence series, volume 927, ensuring rigorous academic peer review.

Addresses both theoretical principles and practical applications of metaheuristic methods in industrial and research settings.

Combines swarm computational intelligence with real-world problem-solving strategies for complex systems.

Published by Springer, a leading scientific publisher specialising in engineering, computer science and mathematics.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
14 November 2021
Listed Since
19 October 2021

Barcode

No barcode data available

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