Advances in Computation and Intelligence

1. Section III: Evolutionary Multi-objective and Dynamic Optimization

   1. An Improved Hybrid Multi-objective Particle Swarm Optimization Algorithm

      • Zuan Zhou, Guangming Dai, Pan Fang, Fangjie Chen, Yi Tan

      Pages 181-188

   2. Application of Ant Colony Optimization Algorithm to Multi-Join Query Optimization

      • Nana Li, Yujuan Liu, Yongfeng Dong, Junhua Gu

      Pages 189-197

   3. A Hybrid Algorithm for Vehicle Routing Problem with Time Windows

      • Dengying Jiang, Wenxia Jiang, Zhangcan Huang

      Pages 198-205

2. Section IV: Evolutionary Learning Systems

   1. An Architecture Design for Evolvable Computer

      • Xuesong Yan, Chen Shi, Lishan Kang, Shitan Huang

      Pages 206-211

   2. Gene Expression Programming Neural Network for Regression and Classification

      • Weihong Wang, Qu Li, Xing Qi

      Pages 212-219

   3. Granular-Based Linguistic Models for Identification of Process System

      • Keun-Chang Kwak

      Pages 220-227

   4. Particle Swarm Optimization Applied to Restoration of Electrical Energy Distribution Systems

      • Germano Lambert-Torres, Helga Gonzaga Martins, Maurilio Pereira Coutinho, Camila Paes Salomon, Leonardo Schilling Filgueiras

      Pages 228-238

   5. Space Regression Analysis on Geochemical Data by the GEP Evolutionary Model Based on Kriging

      • Dongmei Zhang, Ao Wang, Zhifen Chen

      Pages 239-247

   6. Fault Tolerance Improvement through Architecture Change in Artificial Neural Networks

      • Fernando Morgado Dias, Ana Antunes

      Pages 248-257

   7. A Strategic Model for Measuring Agility with Fuzzy Logic

      • Gholamreza Khoshsima

      Pages 258-268

3. Section V: Neural Networks

   1. Comparison on Gradient-Based Neural Dynamics and Zhang Neural Dynamics for Online Solution of Nonlinear Equations

      • Yunong Zhang, Chenfu Yi, Weimu Ma

      Pages 269-279

   2. Competitive Hopfield Neural Network with Periodic Stochastic Dynamics for Partitional Clustering

      • Zhanghui Kuang, Wei Bi, Jiahai Wang

      Pages 280-289

   3. Modeling Hysteresis in Piezo Actuator Based on Neural Networks

      • Xuefeng Yang, Wei Li, Yuqiao Wang, Guo Ye

      Pages 290-296

   4. Modeling of Grey Neural Network and Its Applications

      • Jingling Yuan, Luo Zhong, Xiaoyan Li, Jie Li

      Pages 297-305

   5. On-Line Estimation of Biomass Concentration Based on ANN and Fuzzy C-Means Clustering

      • Guohai Liu, Haixia Xu, Dawei Zhou, Congli Mei

      Pages 306-314

   6. PCA-Based Elman Neural Network Algorithm

      • Shifei Ding, Weikuan Jia, Chunyang Su, Xinzheng Xu, Liwen Zhang

      Pages 315-321

   7. Prediction Model of Water Resources in Mine Area Based on Phase Space Reconstruction and Chaos Neural Network

      • Keping Zhou, Ge Gao, Feng Gao, Wenxiang Gao

      Pages 322-330

   8. Predictive Control Strategy of Hydraulic Turbine Turning System Based on BGNN Neural Network

      • Yijian Liu, Yanjun Fang

      Pages 331-341

   9. The Application of Improved BP Neural Network Algorithm in Lithology Recognition

      • Yuxiang Shao, Qing Chen, Dongmei Zhang

      Pages 342-349

4. Section VI: Classification and Recognition

   1. A Combined Classification Algorithm Based on C4.5 and NB

      • Liangxiao Jiang, Chaoqun Li, Jia Wu, Jian Zhu

      Pages 350-359

This book constitutes the refereed proceedings of the Third International Symposium on Intelligence Computation and Applications, ISICA 2008, held in Wuhan, China, in December 2008. The 93 revised full papers were carefully reviewed and selected from about 700 submissions. The papers are organized in topical sections on computational intelligence, evolutionary computation, evolutionary multi-objective and dynamic optimization, evolutionary learning systems, neural networks, classification and recognition, bioinformatics and bioengineering, evolutionary data mining and knowledge discovery, intelligent GIS and control, theory of intelligent computation, combinational and numerical optimization, as well as real-world applications.

• bioinformatics
• cognition
• computational intelligence
• data mining
• evolution
• evolutionary computation
• knowledge
• knowledge discovery
• learning
• neural network
• optimization

• Computation Center, Wuhan University, Wuhan, China

  Lishan Kang

• Faculty of Computer Science, China University of Geosciences, Wuhan, Hubei, P.R. China

  Zhihua Cai

• School of Computer Science, China University of Geosciences, Wu-Han, 430074, China Research Center for Space Science and Technology, China University of Geosciences, Wu-Han, China

  Xuesong Yan

• The University of Aizu, Aizu-Wakamatsu City Fukushima, Japan

  Yong Liu

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