Computational Intelligence, Networked Systems and Their Applications

1. Front Matter

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2. The First Section: Advanced Fuzzy, Neural Network Theory and Algorithms

   1. Research of Metro Illumination Control Based on BP Neural Network PID Algorithm

      • Yong Shao, Fengbo Wang, Yuting Zhang, Peng Zan

      Pages 1-8

   2. A Study of Adaptive Neural Network Control System

      • Heng Zhong, Dingyuan Li, Kun Tu

      Pages 9-17

   3. Design of Fuzzy Logic Controller Based on Differential Evolution Algorithm

      • Li Shuai, Sun Wei

      Pages 18-25

   4. Batch-Wise Updating Neuro-Fuzzy Model Based Predictive Control for Batch Processes

      • Qinsheng Li, Li Jia, Tian Yang

      Pages 26-35

3. The Second Section: Advanced Evolutionary Computation

   1. A Novel Learning Algorithm for Pallet Grouping Technology

      • Weitian Lin, Zhigang Lian, Bin Jiao, Xingsheng Gu, Wei Xu

      Pages 36-45

   2. Optimization of Data Query and Display Algorithm for a Wireless Monitoring and Visualization System

      • Jiqiu Chen, Jingqi Fu, Weihua Bao

      Pages 46-55

   3. A Simple Human Learning Optimization Algorithm

      • Ling Wang, Haoqi Ni, Ruixin Yang, Minrui Fei, Wei Ye

      Pages 56-65

   4. An Improved Non-dominated Sorting Genetic Algorithm for Multi-objective Optimization Based on Crowding Distance

      • Tian-liang Xia, Shao-hua Zhang

      Pages 66-76

   5. Comprehensive Analysis of Cooperative Particle Swarm Optimization with Adaptive Mixed Swarm

      • Jing Jie, Beiping Hou, Hui Zheng, Xiaoli Wu

      Pages 77-86

   6. Imperialist Competitive Algorithm with Trading Mechanism for Optimization

      • Shuaiqun Wang, Aorigele, Jingyi Luo, Shangce Gao

      Pages 87-98

   7. An Improved Artificial Fish Swarm Algorithm and Application

      • Xinyuan Luan, Biyao Jin, Tingzhang Liu, Yingqi Zhang

      Pages 99-110

   8. A Novel Deterministic Quantum Swarm Evolutionary Algorithm

      • Xikun Wang, Lin Qian, Ling Wang, Muhammad Ilyas Menhas, Haoqi Ni, Xin Du

      Pages 111-121

   9. Application of the Improved Quantum Genetic Algorithm

      • Yufa Xu, Xiaojuan Mei, Zhijun Dai, Qiangqiang Su

      Pages 122-128

   10. Strategy Analysis of an Evolutionary Spectrum Sensing Game

       • Dongsheng Ding, Guoyue Zhang, Donglian Qi, Huhu Zhang

       Pages 129-139

   11. Particle Swarm Optimization Based on Shannon’s Entropy for Odor Source Localization

       • Nanqi Li, Qiang Lu, Yang He, Jian Wang

       Pages 140-148

4. The Third Section: Pattern Recognition and Machine Intelligence

   1. Face Detection and Tracking Based on Adaboost CamShift and Kalman Filter Algorithm

      • Kun Chen, ChunLei Liu, Yongjin Xu

      Pages 149-158

   2. A Quick Method for Matching Object Subspaces Based on Visual Inspection

      • Wenju Zhou, Zixiang Fei, Huosheng Hu, Li Liu, Jingna Li

      Pages 159-168

   3. Research on Visual Environment Evaluation System of Subway Station Space

      • Fengqun Guo, Hui Xiao

      Pages 169-179

   4. Study on Pattern Recognition of Hand Motion Modes Based on Wavelet Packet and SVM

      • Fuxin Liang, Chuanjiang Li, Yunling Gao, Chongming Zhang, Jiajia Chen

      Pages 180-188

This book constitutes the second part of the refereed proceedings of the International Conference on Life System Modeling and Simulation, LSMS 2014, and of the International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2014, held in Shanghai, China, in September 2014. The 159 revised full papers presented in the three volumes of CCIS 461-463 were carefully reviewed and selected from 572 submissions. The papers of this volume are organized in topical sections on advanced neural network theory and algorithms; advanced evolutionary computing theory and algorithms, such as particle swarm optimization, differential evolution, ant colonies, artificial life, artificial immune systems and genetic algorithm; fuzzy, neural, and fuzzy-neuro hybrids; intelligent modeling, monitoring, and control of complex nonlinear systems; intelligent modeling and simulation of climate change; communication and control for distributed networked systems.

• image processing
• image segmentation
• machine learning
• networked control system
• object detection
• object identification
• object recognition
• planning and scheduling

• Shanghai Key Laboratory of Power Station Automation Technology, School of Mechatronics Engineering and Automation Shanghai University, Shanghai, China

  Minrui Fei

• Shanghai University, China

  Chen Peng, Zhou Su, Yang Song

• Central Queensland University, Rockhampton, Australia

  Qinglong Han

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