Swarm Intelligence Algorithms (Two Volume Set)

2. Auflage 2027
ISBN: 978-1-041-36805-2
Verlag: Taylor & Francis

Buch, Englisch, 1056 Seiten, Format (B × H): 156 mm x 234 mm

The Second Edition of Swarm Intelligence Algorithms has been thoroughly updated and expanded to cover 36 swarm intelligence algorithms. Each chapter is authored by world-renowned researchers with extensive expertise in their respective algorithms, and many of whom are the original developers of the methods, ensuring the highest scientific quality and practical insight throughout both volumes. The chapters focus on recent algorithmic modifications and their applications to solving complex real-world problems across diverse fields. Readers will gain a comprehensive understanding of modern swarm intelligence optimization techniques, explore cutting-edge modifications, and discover how these algorithms are successfully applied through detailed case studies.  Key Features:

- Includes real-world applications and case studies across multiple domains

- Provides practical guidance on implementing algorithms to solve complex problems

- Informs the reader how to apply swarm intelligence techniques to real-world challenges

- Offers step-by-step understanding of how selected algorithms work

- Serves as a starting point for experimenting with algorithm modifications and exploring new applications.

- Provides an accessible chapter structure with each algorithm presented according to a similar framework, making it easier to compare different methods.

Ideal for researchers, practitioners, and graduate students in computer science, engineering, operations research, and related fields.

Zielgruppe

General

Autoren/Hrsg.

Slowik, Adam

Fachgebiete

• Mathematik | Informatik EDV | Informatik Technische Informatik
• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
• Mathematik | Informatik Mathematik Algebra Zahlentheorie
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik

Inhaltsverzeichnis

1. Ant Colony Optimization – Modifications and Applications 2. Artificial Bee Colony Algorithm – Modifications and Applications 3. Bacterial Foraging Optimization – Modifications and Applications 4. Bat Algorithm – Modifications and Applications 5. Cat Swarm Optimization – Modifications and Applications 6. Chicken Swarm Optimization – Modifications and Applications 7. Cockroach Swarm Optimization – Modifications and Applications 8. Crow Search Algorithm – Modifications and Applications 9. Cuckoo Search Algorithm – Modifications and Applications 10. Dynamic Virtual Bats Algorithm – Modifications and Applications 11. Dispersive Flies Optimization – Modifications and Applications 12. Elephant Herding Optimization – Modifications and Applications 13. Firefly Algorithm – Modifications and Applications 14. Glow Swarm Optimization – Modifications and Applications 15. Grasshopper Optimization Algorithm – Modifications and Applications 16. Grey Wolf Optimizer – Modifications and Applications 17. Hunting Search Algorithm – Modifications and Applications 18. Krill Herd Algorithm – Modifications and Applications 19. Monarch Butterfly Optimization – Modifications and Applications 20. Particle Swarm Optimization – Modifications and Applications 21. Salp Swarm Algorithm – Modifications and Applications 22. Social Spider Optimization – Modifications and Applications 23. Stochastic Diffusion Search – Modifications and Applications 24. Whale Optimization Algorithm – Modifications and Applications 25. Crayfish Optimization Algorithm – Modifications and Applications 26. Remora Optimization Algorithm – Modifications and Applications 27. Puma Optimizer – Modifications and Applications 28. Tuna Swarm Optimization – Modifications and Applications 29. Artificial Locust Swarm Optimization Algorithm – Modifications and Applications 30. Dwarf Mongoose Optimization – Modifications and Applications 31. Artificial Lemming Algorithm – Modifications and Applications 32. Griffon Vultures Optimization Algorithm – Modifications and Applications 33. Tunicate Swarm Algorithm – Modifications and Applications 34. Jellyfish Search Optimizer – Modifications and Applications 35. Goose Algorithm – Modifications and Applications 36. Sparrow Search Algorithm – Modifications and Applications

Über Autor(innen)

ADAM SLOWIK (IEEE Member 2007; IEEE Senior Member 2012) received the B.Sc. and M.Sc. degrees in computer engineering and electronics in 2001 and the Ph.D. degree with distinction in 2007 from the Department of Electronics and Computer Science, Koszalin University of Technology, Koszalin, Poland. He received the Dr. habil. degree in computer science (intelligent systems) in 2013 from the Department of Mechanical Engineering and Computer Science, Czestochowa University of Technology, Czestochowa, Poland. Since October 2013, he has been an Associate Professor in the Department of Electronics and Computer Science, Koszalin University of Technology. His research interests include soft computing, machine learning, neural networks, fuzzy systems, computational intelligence, bio-inspired optimization algorithms, and their engineering applications. He is a Reviewer for many international scientific journals and many international conferences. He is an author or coauthor of over 200 refereed articles in international journals, 2 books, and co-editor of conference proceedings and books, including two invited talks. Dr. Slowik was an Associate Editor of the IEEE Transactions on Industrial Electronics (2009-2011). He is an Associate Editor for the IEEE Transactions on Fuzzy Systems, IEEE Transactions on Cybernetics, and the IEEE Transactions on Industrial Informatics. Dr. Slowik was the Head of the Department of Computer Engineering, Koszalin University of Technology (2019-2021). He is a member of the program committees of several important international conferences in the area of machine learning, artificial intelligence, and evolutionary computation. He was a recipient of one Best Paper Award (IEEE Conference on Human System Interaction - HSI 2008). In 2022-2026, he was on the list of Top 2% Scientists Worldwide by Stanford University. Dr. Slowik has often organized special sessions in such journals as IEEE Transactions on Industrial Electronics, IEEE Transactions on Industrial Informatics, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Consumer Electronics, and Neural Computing and Applications.