Intelligent Computing Theories and Technology

1. Swarm Intelligence and Optimization

   1. Firefly Algorithm and Pattern Search Hybridized for Global Optimization

      • Mahdiyeh Eslami, Hussain Shareef, Mohammad Khajehzadeh

      Pages 172-178

   2. Differential Lévy-Flights Bat Algorithm for Minimization Makespan in Permutation Flow Shops

      • Jian Xie, Yongquan Zhou, Zhonghua Tang

      Pages 179-188

   3. Cloud Model Glowworm Swarm Optimization Algorithm for Functions Optimization

      • Qiang Zhou, Yongquan Zhou, Xin Chen

      Pages 189-197

   4. An Improved Glowworm Swarm Optimization Algorithm Based on Parallel Hybrid Mutation

      • Zhonghua Tang, Yongquan Zhou, Xin Chen

      Pages 198-206

   5. Bat Algorithm with Recollection

      • Wen Wang, Yong Wang, Xiaowei Wang

      Pages 207-215

   6. An Adaptive Bat Algorithm

      • Xiaowei Wang, Wen Wang, Yong Wang

      Pages 216-223

   7. Comparative Study of Artificial Bee Colony Algorithms with Heuristic Swap Operators for Traveling Salesman Problem

      • Zhonghua Li, Zijing Zhou, Xuedong Sun, Dongliang Guo

      Pages 224-233

2. Unsupervised and Reinforcement Learning

   1. Kernel k’-means Algorithm for Clustering Analysis

      • Yue Zhao, Shuyi Zhang, Jinwen Ma

      Pages 234-243

3. Intelligent Computing in Bioinformatics

   1. Recursive Feature Elimination Based on Linear Discriminant Analysis for Molecular Selection and Classification of Diseases

      • Edmundo Bonilla Huerta, Roberto Morales Caporal, Marco Antonio Arjona, José Crispín Hernández Hernández

      Pages 244-251

   2. Inferring Transcriptional Modules from Microarray and ChIP-Chip Data Using Penalized Matrix Decomposition

      • Chun-Hou Zheng, Wen Sha, Zhan-Li Sun, Jun Zhang

      Pages 252-259

   3. Mathematical Inference and Application of Expectation-Maximization Algorithm in the Construction of Phylogenetic Tree

      • Kai Yang, Deshuang Huang

      Pages 260-266

   4. Dimensionality Reduction for Microarray Data Using Local Mean Based Discriminant Analysis

      • Yan Cui, Chun-Hou Zheng, Jian Yang

      Pages 267-276

   5. Machine Learning-Based Approaches Identify a Key Physicochemical Property for Accurately Predicting Polyadenlylation Signals in Genomic Sequences

      • HaiBo Cui, Jia Wang

      Pages 277-285

   6. Disease-Related Gene Expression Analysis Using an Ensemble Statistical Test Method

      • Bing Wang, Zhiwei Ji

      Pages 286-291

   7. A Novel Method for Palmprint Feature Extraction Based on Modified Pulse-Coupled Neural Network

      • Wen-Jun Huai, Li Shang

      Pages 292-298

4. Intelligent Computing in Petri Nets/Transportation Systems

   1. An Improved Squeaky Wheel Optimization Approach to the Airport Gates Assignment Problem

      • Cuiling Yu, Xueyan Song

      Pages 299-306

5. Intelligent Computing in Social Networking

   1. Study on Rumor Spreading Simulation Model in Collective Violent Events

      • Bu Fanliang, Dang Huisen

      Pages 307-313

6. Intelligent Computing in Network Software/Hardware

   1. Particle Swarm Optimization-Neural Network Algorithm and Its Application in the Genericarameter of Microstrip Line

      • Guangbo Wang, Jichou Huang, Pengwei Chen, Xuelian Gao, Ya Wang

      Pages 314-323

   2. Fair Virtual Network Embedding Algorithm with Repeatable Pre-configuration Mechanism

      • Cong Wang, Ying Yuan, Ying Yang

      Pages 324-331

7. Intelligent Control and Automation

   1. Dynamic Obstacle-Avoiding Path Planning for Robots Based on Modified Potential Field Method

      • Qi Zhang, Shi-guang Yue, Quan-jun Yin, Ya-bing Zha

      Pages 332-342

This book constitutes the refereed proceedings of the 9th International Conference on Intelligent Computing, ICIC 2013, held in Nanning, China, in July 2013. The 79 revised full papers presented were carefully reviewed and selected from 561 submissions. The papers are organized in topical sections on systems biology and computational biology; cognitive science and computational neuroscience; knowledge discovery and data mining; machine learning theory and methods; biomedical informatics theory and methods; complex systems theory and methods; natural language processing and computational linguistics; fuzzy theory and models; fuzzy systems and soft computing; particle swarm optimization and niche technology; swarm intelligence and optimization; unsupervised and reinforcement learning; intelligent computing in bioinformatics; intelligent computing in Petri nets/transportation systems; intelligent computing in social networking; intelligent computing in network software/hardware; intelligent control and automation; intelligent data fusion and information security; intelligent sensor networks; intelligent fault diagnosis; intelligent computing in signal processing; intelligent computing in pattern recognition; intelligent computing in biometrics recognition; intelligent computing in image processing; intelligent computing in computer vision; special session on biometrics system and security for intelligent computing; special session on bio-inspired computing and applications; special session on intelligent computing and personalized assisted living; computer human interaction using multiple visual cues and intelligent computing; and special session on protein and gene bioinformatics: analysis, algorithms and applications.

• cloud model
• data mining
• multi-agent systems
• self-adaptive
• swarm intelligence
• algorithm analysis and problem complexity

• Machine Learning and Systems Biology Laboratory, Tongji University, Shanghai, China

  De-Shuang Huang

• School of Electrical Engineering, University of Ulsan, Ulsan, South Korea

  Kang-Hyun Jo

• Guangxi University for Nationalities, Nanning, China

  Yong-Quan Zhou

• School of Computer Science and Engineering, Inha University, Incheon, South Korea

  Kyungsook Han

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