Grey Wolf Optimizer

A Pack of Solutions for Your Optimization Problems

Buch | Softcover

250 Seiten

2026
Morgan Kaufmann Publishers In (Verlag)
978-0-443-36624-6 (ISBN)

Noch nicht erschienen (ca. September 2026)
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Grey Wolf Optimizer: A Pack of Solutions for Your Optimization Problems offers in-depth coverage of recent theoretical advancements in GWO, as well as several variants, improvements, and hybrid approaches developed to enhance the GWO's performance and adaptability. The use of generative AI to improve this algorithm and make it more generic is also explored, along with diverse applications across multiple fields to illustrate the practical utility and versatility of the methods presented. The book offers a deep dive into the algorithm's foundations and presents new developments to help researchers overcome common challenges.

It features numerous case studies and real-world examples across various fields, such as engineering, healthcare, finance, and environmental management. These applications demonstrate the versatility and effectiveness of the GWO in addressing complex, interdisciplinary challenges, making the content highly relevant and practical for readers. Written by some of the world’s most highly cited researchers in the field of artificial intelligence, algorithms, and machine learning, the book serves as an essential resource for researchers and practitioners interested in applying and developing the Grey Wolf Optimizer.

Dr. Seyedali Mirjalili is a Professor and globally renowned leader in artificial intelligence and optimization, recognized as the No. 1 AI researcher on Stanford University’s prestigious World’s Top Scientists list since 2023. He founded the Centre for Artificial Intelligence Research and Optimization in 2019 and serves as a Professor of AI at Torrens University Australia, with distinguished professorships in Hungary and the Czech Republic. With more than 600 research publications, 130,000 citations, and an H-index of 125, Prof. Mirjalili is among the top 1% of highly cited researchers worldwide. His contributions include developing AI algorithms widely applied in science and industry and delivering influential talks, including a TED Talk on AI's transformative potential. Prof. Mirjalili is a strong advocate for responsible and inclusive AI, and he has collaborated with industry and government on ethical AI tools. As a senior member of IEEE and an editor for leading AI journals, he significantly contributed to the advancements of fundamental and applied research in the field. Recognized as a top research leader by The Australian for five years, his insights have earned significant media attention, which showcases his influence as a global thought leader.

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

Erscheint lt. Verlag	1.9.2026
Verlagsort	San Francisco
Sprache	englisch
Maße	191 x 235 mm
Gewicht	450 g
Themenwelt	Mathematik / Informatik ► Informatik ► Software Entwicklung
	Informatik ► Theorie / Studium ► Algorithmen
	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
ISBN-10	0-443-36624-1 / 0443366241
ISBN-13	978-0-443-36624-6 / 9780443366246
Zustand	Neuware