Computational Intelligence and Bioinformatics

1. Front Matter

   PDF

2. Ant Colony Optimisation

   1. A Constrained Ant Colony Algorithm for Image Registration

      • Wen Peng, Ruofeng Tong, Guiping Qian, Jinxiang Dong

      Pages 1-11

   2. A Novel ACO Algorithm with Adaptive Parameter

      • Han Huang, Xiaowei Yang, Zhifeng Hao, Ruichu Cai

      Pages 12-21

   3. Study of Parametric Relation in Ant Colony Optimization Approach to Traveling Salesman Problem

      • Xuyao Luo, Fang Yu, Jun Zhang

      Pages 22-32

   4. Ant Colony System for Optimizing Vehicle Routing Problem with Time Windows (VRPTW)

      • Xuan Tan, Xiaolan Zhuo, Jun Zhang

      Pages 33-38

3. Particle Swarm Optimisation

   1. A Hybrid Particle Swarm Optimization for Binary CSPs

      • Qingyun Yang, Jigui Sun, Juyang Zhang, Chunjie Wang

      Pages 39-49

   2. A New Hybrid Algorithm of Particle Swarm Optimization

      • Guangyou Yang, Dingfang Chen, Guozhu Zhou

      Pages 50-60

   3. A Novel Particle Swarm Optimizer Using Optimal Foraging Theory

      • Ben Niu, Yunlong Zhu, Kunyuan Hu, Sufen Li, Xiaoxian He

      Pages 61-71

   4. A Smart Particle Swarm Optimization Algorithm for Multi-objective Problems

      • Xiaohua Huo, Lincheng Shen, Huayong Zhu

      Pages 72-80

   5. Adaptive Particle Swarm Optimization with Feedback Control of Diversity

      • Jing Jie, Jianchao Zeng, Chongzhao Han

      Pages 81-92

   6. An Improved Particle Swarm Algorithm and Its Application to Power System Transfer Capability Optimization

      • Si-jun Peng, Chang-hua Zhang, Liang Tang

      Pages 93-99

   7. An Improved Particle Swarm Optimization Algorithm with Disturbance Term

      • Qingyuan He, Chuanjiu Han

      Pages 100-108

   8. Blending Scheduling Under Uncertainty Based on Particle Swarm Optimization with Hypothesis Test

      • Hui Pan, Ling Wang

      Pages 109-120

   9. Fixed Parameter Estimation Method Using Gaussian Particle Filter

      • Lixin Wang

      Pages 121-129

   10. Improving Quantum-Behaved Particle Swarm Optimization by Simulated Annealing

       • Jing Liu, Jun Sun, Wenbo Xu

       Pages 130-136

   11. Optimization of a Child Restraint System by Using a Particle Swarm Algorithm

       • Liang Tang, Meng Luo, Qing Zhou

       Pages 137-144

   12. Predicted-Velocity Particle Swarm Optimization Using Game-Theoretic Approach

       • Zhihua Cui, Xingjuan Cai, Jianchao Zeng, Guoji Sun

       Pages 145-154

   13. Solving the Hard Knapsack Problems with a Binary Particle Swarm Approach

       • Bin Ye, Jun Sun, Wen-Bo Xu

       Pages 155-163

4. Swarm Intelligence

   1. Collective Behavior of an Anisotropic Swarm Model Based on Unbounded Repulsion in Social Potential Fields

      • Liang Chen, Li Xu

      Pages 164-173

   2. Combining Particle Swarm Optimization and Neural Network for Diagnosis of Unexplained Syncope

      • Liang Gao, Chi Zhou, Hai-Bing Gao, Yong-Ren Shi

      Pages 174-181

The International Conference on Intelligent Computing (ICIC) was formed to provide 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 industry to share ideas, problems and solutions related to the multifaceted aspects of intelligent computing. ICIC 2006 held in Kunming, Yunnan, China, August 16-19, 2006, was the second International Conference on Intelligent Computing, built upon the success of ICIC 2005 held in Hefei, China, 2005. This year, the conference concentrated mainly on the theories and methodologies as well as the emerging applications of intelligent computing. It intended to unify the contemporary intelligent computing techniques within an integral framework that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. In particular, bio-inspired computing emerged as having a key role in pursuing for novel technology in recent years. The resulting techniques vitalize life science engineering and daily life applications. In light of this trend, the theme for this conference was “Emerging Intelligent Computing Technology and Applications”. Papers related to this theme were especially solicited, including theories, methodologies, and applications in science and technology.

• DNA computing
• artificial life
• autonom
• bioinformatics
• biology
• computational intelligence
• genome
• information system
• intelligence
• knowledge
• knowledge discovery
• optimization
• swarm intelligence
• algorithm analysis and problem complexity
• data structures

• Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, Anhui, China

  De-Shuang Huang

• Queen’s University, Belfast, UK

  Kang Li, George William Irwin

Policies and ethics