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Springer Metaheuristic Optimization - Nature-Inspired Algorithms

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Description

Explore the complex world of computational intelligence with Metaheuristic Optimization: Nature-Inspired Algorithms Swarm and Computational Intelligence, Theory and Applications: 927. Published by Springer as part of the Studies in Computational Intelligence series, this volume provides a focused look at swarm intelligence and nature-inspired methodologies. This book serves as a technical resource for those studying the theory and applications of advanced algorithms. It covers the fundamental concepts required to understand how natural processes can be modeled to solve complex computational problems. Whether you are researching machine learning or artificial intelligence, this text offers a structured approach to understanding modern optimization techniques. It is designed for readers looking to deepen their knowledge of how swarm intelligence and computational models function within the current scientific landscape.

Key Features

Part of the Studies in Computational Intelligence series, volume 927, providing a specialized academic focus.

Covers nature-inspired algorithms and swarm intelligence to help you understand biological modeling in computing.

Explores both the theory and the practical applications of metaheuristic optimization methods.

Published by Springer, a leading name in scientific and technical literature for reliable research content.

Focuses on computational intelligence to assist in the study of advanced AI and machine learning topics.

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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