Computational Intelligence and Intelligent Systems

1. Front Matter

   Pages I-XIX

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2. Neural Networks and Statistical Learning – Neural Architecture Search

   1. Front Matter

      Pages 1-1

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   2. A New Recurrent Neural Network with Fewer Neurons for Quadratic Programming Problems

      • Sanfeng Chen, Xin Han, Fei Tang, Guangming Lin

      Pages 3-16

   3. Mutual-Information-SMOTE: A Cost-Free Learning Method for Imbalanced Data Classification

      • Ying Chen, Yufei Chen, Xianhui Liu, Weidong Zhao

      Pages 17-30

   4. Ontology Sparse Vector Learning Algorithm

      • Xin Xin Huang, Shu Gong

      Pages 31-40

   5. Bacterial Foraging Algorithm Based on Reinforcement Learning for Continuous Optimizations

      • Huiyan Jiang, Wanpeng Dong, Lianbo Ma, Rui Wang

      Pages 41-52

   6. A Novel Attribute Reduction Approach Based on Improved Attribute Significance

      • Jun Ye, Lei Wang

      Pages 53-66

3. Neural Networks and Statistical Learning – Transfer of Knowledge

   1. Front Matter

      Pages 67-67

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   2. Traffic Condition Assessment Based on Support Vectors Machine Using Intelligent Transportation System Data

      • Deng Lei, Weihua Zhong

      Pages 69-83

   3. Bidirectional Negative Correlation Learning

      • Yong Liu

      Pages 84-92

   4. Reflectance Estimation Based on Locally Weighted Linear Regression Methods

      • Dejun Lu, Weifeng Zhang, Kaixuan Cuan, Pengfei Liu

      Pages 93-101

   5. A Multi-task Learning Approach for Mandarin-English Code-Switching Conversational Speech Recognition

      • Xiao Song, Yi Liu, Daming Yang, Yuexian Zou

      Pages 102-111

   6. Feature Selection of Network Flow Based on Machine Learning

      • Taian Xu

      Pages 112-124

4. Evolutionary Multi-objective and Dynamic Optimization – Optimal Control and Design

   1. Front Matter

      Pages 125-125

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   2. Multi-objective Optimal Scheduling of Valves and Hydrants for Sudden Drinking Water Pollution Incident

      • Chengyu Hu, Lu Zou, Xuesong Yan, Wenyin Gong

      Pages 127-137

   3. A Novel Mutation and Crossover Operator for Multi-objective Differential Evolution

      • Qingxia Li, Wenhong Wei

      Pages 138-147

   4. Multi-objective Gene Expression Programming Based Automatic Clustering Method

      • Ruochen Liu, Jianxia Li, Manman He

      Pages 148-158

   5. Multi-objective Firefly Algorithm Guided by Elite Particle

      • Jiayuan Wang, Li Lv, Zhifeng Xie, Xi Zhang, Hui Wang, Jia Zhao

      Pages 159-170

   6. Improving Energy Demand Estimation Using an Adaptive Firefly Algorithm

      • Hui Wang, Zhangxin Chen, Wenjun Wang, Zhijian Wu, Keliu Wu, Wei Li

      Pages 171-181

5. Evolutionary Multi-objective and Dynamic Optimization – Hybrid Methods

   1. Front Matter

      Pages 183-183

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This two-volume set (CCIS 873 and CCIS 874) constitutes the thoroughly refereed proceedings of the 9th International Symposium, ISICA 2017, held in Guangzhou, China, in November 2017.The 101 full papers presented in both volumes were carefully reviewed and selected from 181 submissions. This first volume is organized in topical sections on neural networks and statistical learning: neural architecture search, transfer of knowledge; evolutionary multi-objective and dynamic optimization: optimal control and design, hybrid methods; data mining: association rule learning, data management platforms; Cloud computing and multiagent systems: service models, Cloud engineering; everywhere connectivity: IoT solutions, wireless sensor networks.

• artificial intelligence
• association rules
• cloud computing
• clustering algorithms
• data mining
• differential evolution
• evolutionary algorithms
• genetic algorithms
• multiobjective optimization
• radio
• routing protocols
• semantics
• sensor networks
• sensor nodes
• signal processing
• Support Vector Machines (SVM)
• wireless
• wireless networks
• wireless telecommunication systems
• algorithm analysis and problem complexity

• College of Mathematics and Informatics, South China Agricultural University, Guangzhou, China

  Kangshun Li

• Jiangxi University of Science and Technology, Ganzhou, China

  Wei Li

• Chemical and Petroleum Engineering, University of Calgary, Calgary, Canada

  Zhangxing Chen

• School of Computer Science and Engineering, The University of Aizu, Aizu-Wakamatsu, Fukushima, Japan

  Yong Liu

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