Advances in Intelligent Systems and Computing

Genetic and Evolutionary Computing

Proceedings of the Eleventh International Conference on Genetic and Evolutionary Computing, November 6-8, 2017, Kaohsiung, Taiwan

Editors: Lin, J.C.-W., Pan, J.-S., Chu, S.-C., Chen, C.-M. (Eds.)

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  • 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
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About this book

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.

About the authors

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.

Table of contents (24 chapters)

Table of contents (24 chapters)
  • A Many-Objective Evolutionary Algorithm with Reference Point-Based and Vector Angle-Based Selection

    Lee, Chen-Yu (et al.)

    Pages 3-11

  • Freeway Travel Time Prediction by Using the GA-Based Hammerstein Recurrent Neural Network

    Lee, Ru-Kam (et al.)

    Pages 12-19

  • A PIP-Based Approach for Optimizing a Group Stock Portfolio by Grouping Genetic Algorithm

    Chen, Chun-Hao (et al.)

    Pages 20-25

  • A Novel Genetic Algorithm for Resource Allocation Optimization in Device-to-Device Communications

    Huang, Yung-Fa (et al.)

    Pages 26-33

  • Mining Erasable Itemsets Using Bitmap Representation

    Huang, Wei-Ming (et al.)

    Pages 37-43

Buy this book

eBook $169.00
price for USA in USD (gross)
  • ISBN 978-981-10-6487-6
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $219.99
price for USA in USD
  • ISBN 978-981-10-6486-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Genetic and Evolutionary Computing
Book Subtitle
Proceedings of the Eleventh International Conference on Genetic and Evolutionary Computing, November 6-8, 2017, Kaohsiung, Taiwan
Editors
  • Jerry Chun-Wei Lin
  • Jeng-Shyang Pan
  • Shu-Chuan Chu
  • Chien-Ming Chen
Series Title
Advances in Intelligent Systems and Computing
Series Volume
579
Copyright
2018
Publisher
Springer Singapore
Copyright Holder
Springer Nature Singapore Pte Ltd.
eBook ISBN
978-981-10-6487-6
DOI
10.1007/978-981-10-6487-6
Softcover ISBN
978-981-10-6486-9
Series ISSN
2194-5357
Edition Number
1
Number of Pages
XIII, 208
Number of Illustrations
80 b/w illustrations
Topics