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Genetic and Evolutionary Computing: Proceedings of the Eleventh International Conference on Genetic and Evolutionary Computing, November 6-8, 2017, Kaohsiung, Taiwan: Advances in Intelligent Systems and Computing, cartea 579

Editat de Jerry Chun-Wei Lin, Jeng-Shyang Pan, Shu-Chuan Chu, Chien-Ming Chen
en Limba Engleză Paperback – 19 oct 2017
This volume of Advances in Intelligent Systems and Computing highlights papers presented at the 11th International Conference on Genetic and Evolutionary Computing (ICGEC 2017). Held from 6 to 8 November 2017 in Kaohsiung, Taiwan, the conference was co-sponsored by Springer, Fujian University of Technology in China, National University of Kaohsiung, Harbin Institute of Technology, National Kaohsiung University of Applied Sciences, and VŠB -Technical University of Ostrava. The conference was intended as an international forum for researchers and professionals engaged in all areas of genetic computing, intelligent computing, evolutionary and grid computing.
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Specificații

ISBN-13: 9789811064869
ISBN-10: 9811064865
Pagini: 208
Ilustrații: XIII, 208 p. 80 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.32 kg
Ediția:1st ed. 2018
Editura: Springer Nature Singapore
Colecția Springer
Seria Advances in Intelligent Systems and Computing

Locul publicării:Singapore, Singapore

Notă biografică

Prof. Jerry Chun-Wei Lin currently works as Associate Professor at School of Computer Science and Technology, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China. He received his Ph.D. degree from National Cheng Kung University, Tainan, Taiwan in 2010. He has published more than 180 research papers in academic journals (71 SCI journals) and international conferences. Prof. Lin is currently Editorial Board member of journal Intelligent Data Analysis and Editor-in-Chief of journal Data Science and Pattern Recognition. The research fields of Prof. Lin's Intelligent Knowledge Engineering Lab incl
ude data mining, machine learning, artificial intelligence, social computing, multimedia and image processing, and privacy-preserving and security technologies. Prof. Jeng-Shyang Pan is currently professor and dean of School of Information Science and Engineering, Fujian University of Technology, Fuzhou, China. He received the B.
S. degree in Electronic Engineering from the National Taiwan University of Science and Technology in 1986, the M.S. degree in Communication Engineering from the National Chiao Tung University, Taiwan in 1988, and the Ph.D. degree in Electrical Engineering from the University of Edinburgh, U.K. in 1996. He is Fellow of The Institution of Engineering and Technology (IET), UK. In 2012, Prof. Pan was named in "National 1000-Talent Plan" in China. His current research interests include soft computing, information security, big data mining and signal processing. Prof. Pan has published more than 500 research papers in academic journals and conferences with h-index of 39. He is the founding Editor-in-Chief of Journal of Information Hiding and Multimedia Signal Processing and International Journal of Innovative Computing, Information and Control. Dr. Shu-Chuan Chu is currently research fellow at Flinders University, Bedford Park, Austratlia. She received her Ph.D.
degree from School of Informatics and Engineering, Flinders University in 2004.Prof. Chien-Ming Chen currently works as Assistant Professor at School of Computer Science and Technology, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China. He received D.E. in Computer Science from National Tsinghua university, Taiwan in 2010. His research interest includes network security, wireless sensor networks and internet of things.

Textul de pe ultima copertă

This volume of Advances in Intelligent Systems and Computing highlights papers presented at the 11th International Conference on Genetic and Evolutionary Computing (ICGEC 2017). Held from 6 to 8 November 2017 in Kaohsiung, Taiwan, the conference was co-sponsored by Springer, Fujian University of Technology in China, National University of Kaohsiung, Harbin Institute of Technology, National Kaohsiung University of Applied Sciences, and VŠB -Technical University of Ostrava. The conference was intended as an international forum for researchers and professionals engaged in all areas of genetic computing, intelligent computing, evolutionary and grid computing.

Caracteristici

Highlights the latest research presented at the 11th International Conference on Genetic and Evolutionary Computing (ICGEC 2017) Presents novel methods in areas including swarm intelligence, artificial intelligence, information hiding, and data mining techniques Offers a valuable resource for realistic applications in the respective areas Includes supplementary material: sn.pub/extras