Swarm Intelligence Algorithms (Two Volume Set) (PDF)
(Sprache: Englisch)
This set of two books can provides the basics for understanding how swarm intelligence algorithms work, together with their modifications and practical applications. It is useful for students studying the basics of nature-based optimization algorithms, and...
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Produktinformationen zu „Swarm Intelligence Algorithms (Two Volume Set) (PDF)“
This set of two books can provides the basics for understanding how swarm intelligence algorithms work, together with their modifications and practical applications. It is useful for students studying the basics of nature-based optimization algorithms, and can be a helpful for learning to solve a selected practical problem.
Autoren-Porträt
Adam Slowik (IEEE Member 2007; IEEE Senior Member 2012) is an Associate Professor in the Department of Electronics and Computer Science, Koszalin University of Technology. His research interests include soft computing, computational intelligence, and, particularly, bio-inspired optimization algorithms and their engineering applications. He was a recipient of one Best Paper Award (IEEE Conference on Human System Interaction - HSI 2008).
Bibliographische Angaben
- 2021, 1. Auflage, 768 Seiten, Englisch
- Herausgegeben: Adam Slowik
- Verlag: Taylor & Francis
- ISBN-10: 1000168727
- ISBN-13: 9781000168723
- Erscheinungsdatum: 26.01.2021
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 13 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
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