Nyhet

Grey Wolf Optimizer

A Pack of Solutions for Your Optimization Problems

AvSeyedali Mirjalili

Häftad, Engelska, 2026

2 032 kr

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Beskrivning

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.

Helps readers understand the evolution, strengths, and current standing of the Grey Wolf Optimizer as a powerful optimization technique
Helps readers grasp the core concepts and theoretical foundations necessary for effective application
Introduces novel variants, improvements, and hybrid approaches designed to tackle optimization problems involving binary, multi-objective, noisy, dynamic, and combinatorial challenges
Features numerous case studies and real-world examples across various fields, such as engineering, healthcare, finance, and environmental management

Produktinformation

Utgivningsdatum:2026-07-30
Mått:216 x 276 x undefined mm
Vikt:450 g
Format:Häftad
Språk:Engelska
Antal sidor:784
Förlag:Elsevier Science
ISBN:9780443366246

Utforska kategorier

Företagsekonomi inom Ekonomi och Ledarskap
Programmeringsböcker inom Data och IT
Artificiell intelligens inom Data och IT

Mer om författaren

Dr. Seyedali Mirjalili is a Professor and globally renowned leader in artificial intelligence andoptimization, 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 andOptimization 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 researchpublications, 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 TheAustralian for five years, his insights have earned significant media attention, which showcaseshis influence as a global thought leader.

Innehållsförteckning

1. Introduction to meta-heuristics and Grey Wolf Optimizer2. Single-objective optimization using Grey Wolf Optimizer3. Multi-objective optimization using Grey Wolf Optimizer4. Many-objective optimization using Grey Wolf Optimizer5. Constrained optimization using Grey Wolf Optimizer6. Robust optimization using Grey Wolf Optimizer7. Binary optimization using Grey Wolf Optimizer8. Dynamic Optimization using Grey Wolf Optimizer9. Combinatorial optimization using Grey Wolf Optimizer10. Oppositional-based learning with Grey Wolf Optimizer11. Chaotic Grey Wolf Optimizer12. Memetic Grey Wolf Optimizer13. Feature selection using Grey Wolf Optimizer14. Clustering using Grey Wolf Optimizer15. Hybrids of Grey Wolf Optimizer with swarm intelligence methods16. Hybrids of Grey Wolf Optimizer with evolutionary algorithms17. Engineering optimization using Grey Wolf Optimizer18. Grey Wolf Optimizer with Genetic Programming19. Grey Wolf Optimizer in sustainable energy20. Grey Wolf Optimizer in network and 5G