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Intelligent Computing Methodologies

14th International Conference, ICIC 2018, Wuhan, China, August 15-18, 2018, Proceedings, Part III

  • Conference proceedings
  • © 2018

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Editors:
  1. De-Shuang Huang

    1. Tongji University, Shanghai, China

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  2. M. Michael Gromiha

    1. Indian Institute of Technology Madras, Chennai, India

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  3. Kyungsook Han

    1. Inha University, Incheon, Korea (Republic of)

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  4. Abir Hussain

    1. Liverpool John Moores University, Liverpool, United Kingdom

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10956)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

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Conference proceedings info: ICIC 2018.

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About this book



This book constitutes - in conjunction with the two-volume set LNCS 10954 and LNCS 10955 - the refereed proceedings of the 14th International Conference on Intelligent Computing, ICIC 2018, held in Wuhan, China, in August 2018. The 275 full papers and 72 short papers of the three proceedings volumes were carefully reviewed and selected from 632 submissions. 
The papers are organized in topical sections such as Evolutionary Computation and Learning; Neural Networks; Pattern Recognition; Image Processing; Information Security; Virtual Reality and Human-Computer Interaction; Business Intelligence and Multimedia Technology; Biomedical Informatics Theory and Methods; Swarm Intelligence and Optimization; Natural Computing; Quantum Computing; Intelligent Computing in Computer Vision; Fuzzy Theory and Algorithms; Machine Learning; Systems Biology; Intelligent Systems and Applications for Bioengineering; Evolutionary Optimization: Foundations and Its Applications to Intelligent Data Analytics; Swarm Evolutionary Algorithms for Scheduling and Combinatorial Optimization; Swarm Intelligence and Applications in Combinatorial Qoptimization; Advances in Metaheuristic Optimization Algorithm; Advances in Image Processing and Pattern Techniques; Bioinformatics.

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Table of contents (92 papers)

  1. Front Matter

    Pages I-XXII
    Download chapter PDF

  2. An Improved Evolutionary Extreme Learning Machine Based on Multiobjective Particle Swarm Optimization

    • Jing Jiang, Fei Han, Qing-Hua Ling, Ben-Yue Su
    Pages 1-6

  3. ESNMF: Evolutionary Symmetric Nonnegative Matrix Factorization for Dissecting Dynamic Microbial Networks

    • Yuanyuan Ma, Xiaohua Hu, Tingting He, Xianchao Zhu, Meijun Zhou, Xingpeng Jiang
    Pages 7-18

  4. A Pseudo-dynamic Search Ant Colony Optimization Algorithm with Improved Negative Feedback Mechanism to Solve TSP

    • Jun Li, Yuan Xia, Bo Li, Zhigao Zeng
    Pages 19-24

  5. Dynamic Mutation Based Pareto Optimization for Subset Selection

    • Mengxi Wu, Chao Qian, Ke Tang
    Pages 25-35

  6. Energy-Aware Fault-Tolerant Scheduling Under Reliability and Time Constraints in Heterogeneous Systems

    • Tian Guo, Jing Liu, Wei Hu, Mengxue Wei
    Pages 36-46

  7. A Novel Many-Objective Optimization Algorithm Based on the Hybrid Angle-Encouragement Decomposition

    • Yuchao Su, Jia Wang, Lijia Ma, Xiaozhou Wang, Qiuzhen Lin, Jianyong Chen
    Pages 47-53

  8. Solving Bi-criteria Maximum Diversity Problem with Multi-objective Multi-level Algorithm

    • Li-Yuan Xue, Rong-Qiang Zeng, Hai-Yun Xu, Yi Wen
    Pages 54-62

  9. A Modified Teaching-Learning Optimization Algorithm for Economic Load Dispatch Problem

    • Ge Yu, Jinhai Liu
    Pages 63-69

  10. A Novel Multi-population Particle Swarm Optimization with Learning Patterns Evolved by Genetic Algorithm

    • Chunxiuzi Liu, Fengyang Sun, Qingbei Guo, Lin Wang, Bo Yang
    Pages 70-80

  11. Classification of Hyperspectral Data Using a Multi-Channel Convolutional Neural Network

    • Chen Chen, Jing-Jing Zhang, Chun-Hou Zheng, Qing Yan, Li-Na Xun
    Pages 81-92

  12. Improved Sub-gradient Algorithm for Solving the Lower Bound of No-Wait Flow-Shop Scheduling with Sequence-Dependent Setup Times and Release Dates

    • Nai-Kang Yu, Rong Hu, Bin Qian, Zi-Qi Zhang, Ling Wang
    Pages 93-101

  13. Cells Counting with Convolutional Neural Network

    • Run-xu Tan, Jun Zhang, Peng Chen, Bing Wang, Yi Xia
    Pages 102-111

  14. Improved Adaptive Incremental Error-Minimization-Based Extreme Learning Machine with Localized Generalization Error Model

    • Wen-wen Han, Peng Zheng, Zhong-Qiu Zhao, Wei-dong Tian
    Pages 112-122

  15. Fully Complex-Valued Wirtinger Conjugate Neural Networks with Generalized Armijo Search

    • Bingjie Zhang, Junze Wang, Shujun Wu, Jian Wang, Huaqing Zhang
    Pages 123-133

  16. Cross-Domain Attribute Representation Based on Convolutional Neural Network

    • Guohui Zhang, Gaoyuan Liang, Fang Su, Fanxin Qu, Jing-Yan Wang
    Pages 134-142

  17. Convolutional Neural Network for Short Term Fog Forecasting Based on Meteorological Elements

    • Ting-ting Han, Kai-chao Miao, Ye-qing Yao, Cheng-xiao Liu, Jian-ping Zhou, Hui Lu et al.
    Pages 143-148

  18. RBF Neural Network Adaptive Sliding Mode Control of Rotary Stewart Platform

    • Tan Van Nguyen, Cheolkeun Ha
    Pages 149-162

  19. Smart Robotic Wheelchair for Bus Boarding Using CNN Combined with Hough Transforms

    • Sarwar Ali, Shamim Al Mamun, Hisato Fukuda, Antony Lam, Yoshinori Kobayashi, Yoshonori Kuno
    Pages 163-172

  20. A Question Answering System Based on Deep Learning

    • Lu Liu, Jing Luo
    Pages 173-181
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Other volumes

  1. Intelligent Computing Theories and Application

  2. Intelligent Computing Theories and Application

  3. Intelligent Computing Methodologies

Editors and Affiliations

  • Tongji University, Shanghai, China

    De-Shuang Huang

  • Indian Institute of Technology Madras, Chennai, India

    M. Michael Gromiha

  • Inha University, Incheon, Korea (Republic of)

    Kyungsook Han

  • Liverpool John Moores University, Liverpool, United Kingdom

    Abir Hussain

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