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Adam Slowik - Swarm Intelligence Algorithms (Two Volume Set), Övrigt

Övrigt, Engelska, 2027

Swarm Intelligence Algorithms (Two Volume Set)

Av Adam Slowik

4035 kr

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Beskrivning
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 domainsProvides practical guidance on implementing algorithms to solve complex problemsInforms the reader how to apply swarm intelligence techniques to real-world challengesOffers step-by-step understanding of how selected algorithms workServes 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.
Produktinformation
  • Märke: Taylor & Francis Ltd
  • Utgivningsdatum: 2027-02-03
  • Höjd: 156 x 234 x undefined mm
  • Språk: Engelska
  • Antal sidor: 1 056
  • Upplaga: 2
  • Förlag: Taylor & Francis Ltd
  • EAN: 9781041368052
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Mer om författaren

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.

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