Swarm Intelligence Algorithms

Modifications and Applications
2. Auflage 2027
ISBN: 978-1-041-36613-3
Verlag: Taylor & Francis Ltd

Buch, Englisch, 536 Seiten, Format (B × H): 156 mm x 234 mm

Swarm Intelligence Algorithms: Modifications and Applications (Second Edition) enables the reader to learn the basic principles behind swarm intelligence algorithms, and discover how to modify them and use them effectively to solve practical problems. Offering 36 swarm intelligence algorithms with their modifications and practical applications, each chapter focuses on a specific algorithm and contains a concise description, pseudocode illustrating the successive stages of its operation, as well as a discussion of selected modifications and an example of a practical application for solving a specific problem. The chapters have been prepared by renowned and experienced researchers working in the fields of artificial intelligence, optimization, and nature-inspired algorithms, making the book a valuable source of both theoretical and practical knowledge.

Key Features:

- Enables the reader to learn how to adapt basic methods to more challenging problems by offering algorithm modifications

- Offers practical applications that showcase how the algorithms can be used to solve real-world computational problems.

- Provides pseudocode for every algorithm, allowing for a clear presentation of the successive stages of its operation.

- Combines combination of theory and practice from a concise description of the algorithm, through its modifications, to a specific application.

The book enables the reader to learn how to enhance the capabilities of these algorithms through modifications and how to apply them to practical problems.

It is a valuable source of knowledge for scientists and researchers working in artificial intelligence, optimization, nature-inspired computing, and swarm intelligence and can be useful when conducting research and exploring new variants of existing algorithms that students, engineers, and practitioners will find useful.

Zielgruppe

General

Autoren/Hrsg.

Slowik, Adam

Fachgebiete

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

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.