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Handbook of Whale Optimization Algorithm
Variants, Hybrids, Improvements, and Applications
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Main description:

Handbook of Whale Optimization Algorithm: Variants, Hybrids, Improvements, and Applications provides the most in-depth look at an emerging meta-heuristic that has been widely used in both science and industry. Whale Optimization Algorithm has been cited more than 5000 times in Google Scholar, thus solving optimization problems using this algorithm requires addressing a number of challenges including multiple objectives, constraints, binary decision variables, large-scale search space, dynamic objective function, and noisy parameters to name a few. This handbook provides readers with in-depth analysis of this algorithm and existing methods in the literature to cope with such challenges.

The authors and editors also propose several improvements, variants and hybrids of this algorithm. Several applications are also covered to demonstrate the applicability of methods in this book.


Contents:

1. Introduction to meta-heuristics and Whale Optimization AlgorithmChapter
2. Single-objective optimization using Whale Optimization Algorithm
3. Multi-objective optimization using Whale Optimization Algorithm
4. Many-objective optimization using Whale Optimization Algorithm
5. Constrained optimization using Whale Optimization Algorithm
6. Robust optimization using Whale Optimization AlgorithmChapter
7. Binary optimization using Whale Optimization Algorithm
8. Dynamic optimization using Whale Optimization Algorithm
9. Combinatorial optimization using Whale Optimization Algorithm
10. Oppositional-based learning with Whale Optimization Algorithm
11. Chaotic Whale Optimization Algorithm
12. Memetic Whale Optimization Algorithm
13. Feature Selection using Whale Optimization Algorithm
14. Clustering using Whale Optimization Algorithm
15. Hybrids of Whale Optimization Algorithm with swarm intelligence methods
16. Hybrids of Whale Optimization Algorithm with evolutionary algorithms
17. Engineering optimization using Whale Optimization Algorithm
18. Whale Optimization Algorithm with genetic programming
19. Whale Optimization Algorithm in sustainable energy
20. Whale Optimization Algorithm in networks and 5G


PRODUCT DETAILS

ISBN-13: 9780323953658
Publisher: Elsevier (Academic Press Inc)
Publication date: October, 2023
Pages: 300
Weight: 652g
Availability: Available
Subcategories: General Issues

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