Bio-Inspired Computational Intelligence and Applications

1. Front Matter

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

   1. An Algorithm Based on Nonlinear PCA and Regulation for Blind Source Separation of Convolutive Mixtures

      • Liyan Ma, Hongwei Li

      Pages 1-9

   2. An Edge-Finding Algorithm on Blind Source Separation for Digital Wireless Applications

      • Jie Zhou, Keyou Yao, Ying Zhao, Yiyue Gao, Hisukazu Kicuchi

      Pages 10-17

   3. Research of Immune Neural Network Model Based on Extenics

      • Xiaoyuan Zhu, Yongquan Yu, Hong Wang

      Pages 18-27

   4. A Novel ANN Model Based on Quantum Computational MAS Theory

      • Xiangping Meng, Jianzhong Wang, Yuzhen Pi, Quande Yuan

      Pages 28-35

   5. Robust Speech Endpoint Detection Based on Improved Adaptive Band-Partitioning Spectral Entropy

      • Xin Li, Huaping Liu, Yu Zheng, Bolin Xu

      Pages 36-45

   6. A Novel Neural Network Based Reinforcement Learning

      • Jian Fan, Yang Song, MinRui Fei, Qijie Zhao

      Pages 46-54

   7. A Design of Self Internal Entropy Balancing System with Incarnation Process

      • JeongYon Shim

      Pages 55-62

3. The Second Section: Advanced Evolutionary Computing Theory, Algorithms and Application

   1. Cooperative Versus Competitive Coevolution for Pareto Multiobjective Optimization

      • Tse Guan Tan, Hui Keng Lau, Jason Teo

      Pages 63-72

   2. On the Running Time Analysis of the (1+1) Evolutionary Algorithm for the Subset Sum Problem

      • Yuren Zhou, Zhi Guo, Jun He

      Pages 73-82

   3. Parameter Identification of Bilinear System Based on Genetic Algorithm

      • Zhelong Wang, Hong Gu

      Pages 83-91

   4. A Random Velocity Boundary Condition for Robust Particle Swarm Optimization

      • Jian Li, Bo Ren, Cheng Wang

      Pages 92-99

   5. Kernel-Based Online NEAT for Keepaway Soccer

      • Yun Zhao, Hua Cai, Qingwei Chen, Weili Hu

      Pages 100-107

   6. Immune Clonal Strategy Based on the Adaptive Mean Mutation

      • Ruochen Liu, Licheng Jiao

      Pages 108-116

   7. An Agent Reinforcement Learning Model Based on Neural Networks

      • Liang Gui Tang, Bo An, Dai Jie Cheng

      Pages 117-127

   8. A Novel Agent Coalition Generation Method Based on Fuzzy Set Theory

      • Chunhua Yu, Xueqiao Du, Na Xia

      Pages 128-134

   9. Application of the Agamogenetic Algorithm to Solve the Traveling Salesman Problem

      • Yinghui Zhang, Zhiwei Wang, Qinghua Zeng, Haolei Yang, Zhihua Wang

      Pages 135-143

   10. An Artificial Life Computational Model for the Dynamics of Agro-ecosystem

       • Li Sa, Fanlun Xiong, Yongsheng Ding

       Pages 144-151

   11. A New Image Auto-Segmentation Algorithm Based on PCNN

       • Zhihong Zhang, Guangsheng Ma, Zhijiang Zhao

       Pages 152-161

   12. Dynamic Structure-Based Neural Network Determination Using Orthogonal Genetic Algorithm with Quantization

       • Liling Xing, Wentao Zhao

       Pages 162-171

The International Conference on Life System Modeling and Simulation (LSMS) was formed to bring together international researchers and practitioners in the field of life system modeling and simulation as well as life system-inspired theory and methodology. The concept of a life system is quite broad. It covers both micro and macro c- ponents ranging from cells, tissues and organs across to organisms and ecologic niches. These interact and evolve to produce an overall complex system whose beh- ior is difficult to comprehend and predict. The arrival of the 21st century has been marked by a resurgence of research interest both in arriving at a systems-level und- standing of biology and in applying such knowledge in complex real-world appli- tions. Consequently, computational methods and intelligence in systems, biology, as well as bio-inspired computational intelligence, have emerged as key drivers for new computational methods. For this reason papers dealing with theory, techniques and real-world applications relating to these two themes were especially solicited. Building on the success of a previous workshop in 2004, the 2007 International Conference on Life System Modeling and Simulation (LSMS 2007) was held in Shanghai, China, September 14–17, 2007. The conference was jointly organized by The Shanghai University, Queen's University Belfast together with The Life System Modeling and Simulation Special Interest Committee of the Chinese Association for System Simulation.

• algorithm
• algorithms
• computational intelligence
• evolution
• evolutionary computation
• fuzzy
• intelligence
• modeling
• neural network
• optimization
• simulation
• system modeling
• visualization
• algorithm analysis and problem complexity
• data structures

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