Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence

1. Evolutionary Computing and Genetic Algorithms

   1. A Novel PSO-DE-Based Hybrid Algorithm for Global Optimization

      • Ben Niu, Li Li

      Pages 156-163

   2. A Parallel Multi-algorithm Solver for Dynamic Multi-Objective TSP (DMO-TSP)

      • Ming Yang, Zhou Kang, Lishan Kang

      Pages 164-173

   3. A Virtual Three-Dimension Cellular Automata Pseudorandom Number Generator Based on the Moore Neighborhood Method

      • Sang-Ho Shin, Geum-Dal Park, Kee-Young Yoo

      Pages 174-181

   4. An Adaptive Genetic Algorithm for Solving Traveling Salesman Problem

      • Jina Wang, Jian Huang, Shuqin Rao, Shaoe Xue, Jian Yin

      Pages 182-189

   5. An Application of Support Vector Machines for Induction Motor Fault Diagnosis with Using Genetic Algorithm

      • Ngoc-Tu Nguyen, Hong-Hee Lee

      Pages 190-200

   6. Ant Algorithm Applied in the Minimal Cost Maximum Flow Problem

      • Min Xie, Lixin Gao, Haiwa Guan

      Pages 201-208

   7. Computer Simulation and Word-Updating Dynamical Systems (WDS) on Digraphs

      • Deqiang Chen, Jie Zheng, Xiaoqian Wu

      Pages 209-216

   8. Cooperative Dynamics in Spatially Structured Populations

      • Lihui Shang

      Pages 217-224

   9. Emergent Motion Characteristics of a Modular Robot through Genetic Algorithm

      • Sunil Pranit Lal, Koji Yamada, Satoshi Endo

      Pages 225-234

   10. Evolutionary Optimization with Dynamic Fidelity Computational Models

       • Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff

       Pages 235-242

   11. Grid Resource Aggregation Integrated P2P Mode

       • Zenggang Xiong, Yang Yang, Xuemin Zhang, Ming Zeng

       Pages 243-250

   12. Hybrid Scatter Search with Extremal Optimization for Solving the Capacitated Vehicle Routing Problem

       • Kai Sun, Gen-Ke Yang, Yu-Wang Chen

       Pages 251-258

   13. Implement Web Learning System Based on Genetic Algorithm and Pervasive Agent Ontology

       • Qinglin Guo, Ming Zhang

       Pages 259-266

   14. Large Population Size IGAs with Individuals’ Fitness Not Assigned by User

       • Jie Yuan, Dunwei Gong

       Pages 267-274

   15. Missing Data Imputation in Time Series by Evolutionary Algorithms

       • Juan C. Figueroa García, Dusko Kalenatic, Cesar Amilcar Lopez Bello

       Pages 275-283

   16. Rule-Based Analysis of Behaviour Learned by Evolutionary and Reinforcement Algorithms

       • Stanislav Slušný, Roman Neruda, Petra Vidnerová

       Pages 284-291

   17. Self-Guided Genetic Algorithm

       • Shih-Hsin Chen, Pei-Chann Chang, Qingfu Zhang

       Pages 292-299

   18. Study on Discretization in Rough Set Via Modified Quantum Genetic Algorithm

       • Shuhong Chen, Xiaofeng Yuan

       Pages 300-307

2. Fuzzy Systems and Soft Computing

   1. A Class of Random Fuzzy Programming and Its Hybrid PSO Algorithm

      • Yankui Liu, Xuejie Bai, Fang-Fang Hao

      Pages 308-315

   2. A Fuzzy Logic Approach to Test Statistical Hypothesis on Means

      • Juan Carlos Figueroa García, Jose Jairo Soriano Mendez

      Pages 316-325

The International Conference on Intelligent Computing (ICIC) was formed to p- vide an annual forum dedicated to the emerging and challenging topics in artificial intelligence, machine learning, bioinformatics, and computational biology, etc. It aims to bring together researchers and practitioners from both academia and ind- try to share ideas, problems and solutions related to the multifaceted aspects of intelligent computing. ICIC 2008, held in Shanghai, China, September 15–18, 2008, constituted the 4th International Conference on Intelligent Computing. It built upon the success of ICIC 2007, ICIC 2006 and ICIC 2005 held in Qingdao, Kunming and Hefei, China, 2007, 2006 and 2005, respectively. This year, the conference concentrated mainly on the theories and methodologies as well as the emerging applications of intelligent computing. Its aim was to unify the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. Therefore, the theme for this conference was “Emerging Intelligent Computing Technology and Applications”. Papers focusing on this theme were solicited, addressing theories, methodologies, and applications in science and technology.

• Action
• algorithms
• artificial intelligence
• bioinformatics
• data mining
• fuzzy
• genetic algorithms
• image processing
• intelligence
• learning
• optimization
• pattern recognition

Policies and ethics