Swarm Intelligence (PDF)
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This book delivers in-depth coverage of bat, artificial fish swarm, firefly, cuckoo search, flower pollination, artificial bee colony, wolf search, and gray wolf optimization algorithms. The text begins by addressing basic concepts related to swarm intelligence, such as randomness and chaos theory. It then describes the various swarm intelligence optimization methods, standardizing the variants, hybridizations, and algorithms whenever possible. The book not only details the similarities, differences, weaknesses, and strengths of each method, but also depicts real-world applications, emphasizing variable selection and fitness function design.
Eid Emary is currently a lecturer in the Information Technology Department of the Faculty of Computers and Information at Cairo University, Giza, Egypt. He has authored or co-authored more than 15 research publications in peer-reviewed journals, book chapters, and conference proceedings. He has served as a technical program committee member of various international conferences, and as a reviewer for numerous international journals. His research interests are in the areas of computer vision, mathematical optimization, pattern recognition, video and image processing, machine learning, data mining, and biometrics.
- Autoren: Aboul Ella Hassanien , Eid Emary
- 2018, 228 Seiten, Englisch
- Verlag: Taylor & Francis
- ISBN-10: 149874107X
- ISBN-13: 9781498741071
- Erscheinungsdatum: 03.09.2018
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Größe: 9.27 MB
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