Life System Modeling and Intelligent Computing

1. Front Matter

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2. The First Section: Advanced Evolutionary Computing Theory and Algorithms

   1. Co-Evolutionary Cultural Based Particle Swarm Optimization Algorithm

      • Yang Sun, Lingbo Zhang, Xingsheng Gu

      Pages 1-7

   2. Non-cooperative Game Model Based Bandwidth Scheduling and the Optimization of Quantum-Inspired Weight Adaptive PSO in a Networked Learning Control System

      • Lijun Xu, Minrui Fei, T. C. Yang

      Pages 8-15

   3. Modified Bacterial Foraging Optimizer for Liquidity Risk Portfolio Optimization

      • Ben Niu, Han Xiao, Lijing Tan, Li Li, Junjun Rao

      Pages 16-22

   4. A Combined System for Power Quality Improvement in Grid-Parallel Microgrid

      • Xiaozhi Gao, Linchuan Li, Wenyan Chen

      Pages 23-29

   5. A Distance Sorting Based Multi-Objective Particle Swarm Optimizer and Its Applications

      • Zhongkai Li, Zhencai Zhu, Shanzeng Liu, Zhongbin Wang

      Pages 30-36

   6. A Discrete Harmony Search Algorithm

      • Ling Wang, Yin Xu, Yunfei Mao, Minrui Fei

      Pages 37-43

   7. CFBB PID Controller Tuning with Probability based Binary Particle Swarm Optimization Algorithm

      • Muhammad Ilyas Menhas, Ling Wang, Hui Pan, Minrui Fei

      Pages 44-51

   8. A Novel Cultural Algorithm and Its Application to the Constrained Optimization in Ammonia Synthesis

      • Wei Xu, Lingbo Zhang, Xingsheng Gu

      Pages 52-58

   9. Pareto Ant Colony Algorithm for Building Life Cycle Energy Consumption Optimization

      • Yan Yuan, Jingling Yuan, Hongfu Du, Li Li

      Pages 59-65

   10. Particle Swarm Optimization Based Clustering: A Comparison of Different Cluster Validity Indices

       • Ruochen Liu, Xiaojuan Sun, Licheng Jiao

       Pages 66-72

   11. A Frequency Domain Approach to PID Controllers Design in Boiler-Turbine Units

       • Hui Pan, Minrui Fei, Ling Wang, Kang Li

       Pages 73-81

   12. An Estimation of Distribution Algorithm Based on Clayton Copula and Empirical Margins

       • L. F. Wang, Y. C. Wang, J. C. Zeng, Y. Hong

       Pages 82-88

   13. Clonal Selection Classification Algorithm for High-Dimensional Data

       • Ruochen Liu, Ping Zhang, Licheng Jiao

       Pages 89-95

3. The Second Section: Advanced Neural Network Theory and Algorithms

   1. A General Framework for High-Dimensional Data Reduction Using Unsupervised Bayesian Model

      • Longcun Jin, Wanggen Wan, Yongliang Wu, Bin Cui, Xiaoqing Yu

      Pages 96-101

   2. The Model Following Neural Control Applied to Energy-Saving BLDC Air Conditioner System

      • Ming Huei Chu, Yi Wei Chen, Zhi Wei Chen

      Pages 102-109

   3. Develop of Specific Sewage Pretreatment and Network Monitoring System

      • Rongbao Chen, Liyou Qian, Yuanxiang Zhou, Xuanyu Li

      Pages 110-116

   4. Application of Radial Basis Function Neural Network in Modeling Wastewater Sludge Recycle System

      • Long Luo, Liyou Zhou

      Pages 117-122

   5. Improved Stability Criteria for Delayed Neural Networks

      • Min Zheng, Minrui Fei, Taicheng Yang, Yang Li

      Pages 123-128

   6. Aplication of the Single Neuron PID Controller on the Simulated Chassis Dynamometer

      • Weichun Zhang, Bingbing Ma, Peng Yu, Baohao Pei

      Pages 129-138

The 2010 International Conference on Life System Modeling and Simulation (LSMS 2010) and the 2010 International Conference on Intelligent Computing for Susta- able Energy and Environment (ICSEE 2010) were formed to bring together resear- ers and practitioners in the fields of life system modeling/simulation and intelligent computing applied to worldwide sustainable energy and environmental applications. A life system is a broad concept, covering both micro and macro components ra- ing from cells, tissues and organs across to organisms and ecological niches. To c- prehend and predict the complex behavior of even a simple life system can be - tremely difficult using conventional approaches. To meet this challenge, a variety of new theories and methodologies have emerged in recent years on life system mod- ing and simulation. Along with improved understanding of the behavior of biological systems, novel intelligent computing paradigms and techniques have emerged to h- dle complicated real-world problems and applications. In particular, intelligent c- puting approaches have been valuable in the design and development of systems and facilities for achieving sustainable energy and a sustainable environment, the two most challenging issues currently facing humanity. The two LSMS 2010 and ICSEE 2010 conferences served as an important platform for synergizing these two research streams.

• ant colonies
• biochips
• biological systems simulation
• biorobotics
• data mining
• fuzzy system
• knowledge discovery
• modeling
• swarms
• system modeling
• systems simulation
• visualization

• School of Electronics, Electrical Engineering & Computer Science, Queen’s University Belfast, Belfast, UK

  Kang Li, George W. Irwin

• Shanghai University, China

  Xin Li, Shiwei Ma

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