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© 2018

Bio-inspired Computing: Theories and Applications

13th International Conference, BIC-TA 2018, Beijing, China, November 2–4, 2018, Proceedings, Part I

  • Jianyong Qiao
  • Xinchao Zhao
  • Linqiang Pan
  • Xingquan Zuo
  • Xingyi Zhang
  • Qingfu Zhang
  • Shanguo Huang
Conference proceedings BIC-TA 2018

Part of the Communications in Computer and Information Science book series (CCIS, volume 951)

Table of contents

  1. Front Matter
    Pages I-XVIII
  2. Rui Ding, Hongbin Dong, Jun He, Xianbin Feng, Xiaodong Yu, Lijie Li
    Pages 24-35
  3. Zheng Li, Xuesong Yan, Yuanyuan Fan, Ke Tang
    Pages 60-69
  4. Ganbat Ganbaatar, Khuder Altangerel, Tseren-Onolt Ishdorj
    Pages 107-119
  5. Gaiying Wang, Zhiyu Wang, Xiaoshan Yan, Xiangrong Liu
    Pages 133-141
  6. Zhenqin Yang, Zhixiang Yin, Jianzhong Cui, Jing Yang
    Pages 151-160
  7. Yu Pengfei, He Juanjuan, Liu Xiaoming, Zhang Kai
    Pages 173-185
  8. Ping Guo, Junqi Xiang
    Pages 198-212

Other volumes

  1. Bio-inspired Computing: Theories and Applications
    13th International Conference, BIC-TA 2018, Beijing, China, November 2–4, 2018, Proceedings, Part I
  2. 13th International Conference, BIC-TA 2018, Beijing, China, November 2–4, 2018, Proceedings, Part II

About these proceedings

Introduction

This two-volume set (CCIS 951 and CCIS 952) constitutes the proceedings of the 13th International Conference on Bio-inspired Computing: Theories and Applications, BIC-TA 2018, held in Beijing, China, in November 2018.

The 88 full papers presented in both volumes were selected from 206 submissions. The papers deal with studies abstracting computing ideas such as data structures, operations with data, ways to control operations, computing models from living phenomena or biological systems such as evolution, cells, neural networks, immune systems, swarm intelligence.

Keywords

artificial intelligence authentification data security differential evolution evolutionary algorithms genetic algorithms global optimization learning algorithms multiobjective optimization neural networks particle swarm optimization (pso) search algorithms wireless sensor networks

Editors and affiliations

  1. 1.Beijing University of Posts and TelecommunicationsBeijingChina
  2. 2.Beijing University of Posts and TelecommunicationsBeijingChina
  3. 3.Huazhong University of Science and TechnologyWuhanChina
  4. 4.Beijing University of Posts and TelecommunicationsBeijingChina
  5. 5.Anhui UniversityHefeiChina
  6. 6.City University of Hong KongKowloonHong Kong
  7. 7.Beijing University of Posts and TelecommunicationsBeijingChina

Bibliographic information

  • Book Title Bio-inspired Computing: Theories and Applications
  • Book Subtitle 13th International Conference, BIC-TA 2018, Beijing, China, November 2–4, 2018, Proceedings, Part I
  • Editors Jianyong Qiao
    Xinchao Zhao
    Linqiang Pan
    Xingquan Zuo
    Xingyi Zhang
    Qingfu Zhang
    Shanguo Huang
  • Series Title Communications in Computer and Information Science
  • Series Abbreviated Title Communic.Comp.Inf.Science
  • DOI https://doi.org/10.1007/978-981-13-2826-8
  • Copyright Information Springer Nature Singapore Pte Ltd. 2018
  • Publisher Name Springer, Singapore
  • eBook Packages Computer Science Computer Science (R0)
  • Softcover ISBN 978-981-13-2825-1
  • eBook ISBN 978-981-13-2826-8
  • Series ISSN 1865-0929
  • Series E-ISSN 1865-0937
  • Edition Number 1
  • Number of Pages XVIII, 521
  • Number of Illustrations 231 b/w illustrations, 0 illustrations in colour
  • Topics Artificial Intelligence
    Algorithm Analysis and Problem Complexity
    Computer Communication Networks
  • Buy this book on publisher's site
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