Swarm Intelligence Algorithms

A Tutorial
2. Auflage 2027
ISBN: 978-1-041-36597-6
Verlag: Taylor & Francis Ltd

Buch, Englisch, 528 Seiten, Format (B × H): 156 mm x 234 mm

Swarm Intelligence Algorithms: A Tutorial (Second Edition) is a practical guide to the world of swarm intelligence algorithms that helps readers learn the algorithms but also enables them to implement them independently and apply them to computational problems. The chapters provide detailed explanations of how each algorithm works, present its pseudocode, and include implementations in Matlab and C++. In addition, each algorithm is illustrated with a simple numerical example that demonstrates the successive stages of the calculations step by step. Each chapter has been prepared by world-renowned specialists in the field, combining an accessible introduction to the subject with the knowledge and research expertise of leading experts.

Key Features:

- Includes 36 swarm intelligence algorithms offering a comprehensive overview of the most important methods in this field.

- Offers accessible explanations of how the algorithms work presenteding them in a way that makes its underlying mechanism easy to understand.

- Includes step-by-step numerical examples allowing readers to follow the operation of each algorithm and perform the successive calculations themselves.

- Provides pseudocode for every algorithm, helping readers understand its structure and facilitating subsequent implementation.

- Ready-to-use implementations in MATLAB and C++ helps readers move from concepts to practical applications.

The book will be particularly useful for undergraduate, master's, and doctoral students learning about nature-inspired optimization algorithms and artificial intelligence methods. It can serve both as a textbook for learning the fundamentals and as a practical guide for independently implementing algorithms. Engineers and practitioners looking for effective methods for solving challenging optimization problems will also find the book useful.

Zielgruppe

General

Autoren/Hrsg.

Slowik, Adam

Fachgebiete

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

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.