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Machine Learning and Metaheuristics: Methods and Analysis /

This book takes a balanced approach between theoretical understanding and real-time applications. All the topics included real-world problems which show how to explore, build, evaluate, and optimize machine learning models fusion with metaheuristic algorithms. Optimization algorithms classified into...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Dulhare, Uma N. (Editor), Houssein, Essam Halim (Editor)
Format: eBook
Language:English
Published: Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Edition:1st ed. 2023.
Series:Algorithms for Intelligent Systems,
Subjects:
Computational intelligence.
Machine learning.
Mathematical optimization.
Computational Intelligence.
Machine Learning.
Optimization.
Electronic books.
Online Access:Connect to the full text of this electronic book
Description
Summary:This book takes a balanced approach between theoretical understanding and real-time applications. All the topics included real-world problems which show how to explore, build, evaluate, and optimize machine learning models fusion with metaheuristic algorithms. Optimization algorithms classified into two broad categories as deterministic and probabilistic algorithms. The content of book elaborates optimization algorithms such as particle swarm optimization, ant colony optimization, whale search algorithm, and cuckoo search algorithm. .
Physical Description:1 online resource (XIII, 295 pages 128 illustrations, 80 illustrations in color.)
ISBN:9789819966455
ISSN:2524-7573
DOI:10.1007/978-981-99-6645-5