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Handbook of Whale Optimization Algorithm: Variants, Hybrids, Improvements, and Applications
Handbook of Whale Optimization Algorithm: Variants, Hybrids, Improvements, and Applications
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- More about Handbook of Whale Optimization Algorithm: Variants, Hybrids, Improvements, and Applications
The Handbook of Whale Optimization Algorithm: Variants, Hybrids, Improvements, and Applications is a comprehensive guide to an emerging meta-heuristic widely used in science and industry, offering in-depth analysis and solutions to challenges such as multiple objectives, constraints, binary decision variables, large-scale search space, dynamic objective function, and noisy parameters. It also proposes improvements, variants, and hybrids and covers various applications to demonstrate its applicability.
Format: Paperback / softback
Length: 686 pages
Publication date: 24 November 2023
Publisher: Elsevier Science & Technology
The Handbook of Whale Optimization Algorithm: Variants, Hybrids, Improvements, and Applications delves into the realm of an emerging meta-heuristic that has gained widespread popularity across scientific and industrial domains. With over 5000 citations in Google Scholar, the Whale Optimization Algorithm has emerged as a powerful tool for solving optimization problems. However, the implementation of this algorithm presents several challenges, including the need to handle multiple objectives, constraints, binary decision variables, vast search spaces, dynamic objective functions, and noisy parameters. To address these complexities, this comprehensive handbook offers in-depth analysis of the algorithm and existing methods in the literature. Furthermore, the authors and editors propose several improvements, variants, and hybrids of the Whale Optimization Algorithm to enhance its performance. Additionally, several real-world applications are showcased to demonstrate the practical significance of the methods presented in this book. By providing a comprehensive and up-to-date resource, The Handbook of Whale Optimization Algorithm: Variants, Hybrids, Improvements, and Applications serves as a valuable guide for researchers, practitioners, and students interested in exploring the potential of this cutting-edge optimization algorithm.
Weight: 450g
Dimension: 235 x 191 (mm)
ISBN-13: 9780323953658
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