Buch, Englisch, Band 833, 737 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1285 g
Proceedings of the Fourteenth International Conference on Genetic and Evolutionary Computing, October 21-23, 2021, Jilin, China
Buch, Englisch, Band 833, 737 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1285 g
Reihe: Lecture Notes in Electrical Engineering
ISBN: 978-981-16-8429-6
Verlag: Springer Nature Singapore
This book contains selected papers presented at ICGEC 2021, the 14th International Conference on Genetic and Evolutionary Computing, held from October 21-23, 2021 in Jilin City, China. The conference was technically co-sponsored by Springer, Northeast Electric Power University Fujian University of Technology, Shandong University of Science and Technology, and Western Norway University of Applied Sciences. It is intended as an international forum for the researchers and professionals in all areas of genetic and evolutionary computing. And the readers may learn the up-to-date techniques of the mentioned topics, including swarm intelligence, artificial intelligence, information hiding and data mining techniques, which can help them to bring new ideas or apply the designed approaches from the collected papers to their professional jobs.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Optimierung
- Naturwissenschaften Biowissenschaften Biowissenschaften Evolutionsbiologie
Weitere Infos & Material
Swarm Intelligence and Its Applications.- Operational Technologies and Networked Multimedia Applications.- Wearable Computing and Intelligent Data Hiding.- Image Processing and Intelligent Applications.- Intelligent Multimedia Tools and Applications.- Technologies for Next-Generation Network Environments.- Recent Progress in Computational Electromagnetic Dynamics.- Future Cyber Security, Privacy and Forensics for Advanced systems.- Data Mining Techniques and its Applications.- Optimization Models in Deep Learning/Machine Learning.