Life System Modeling and Intelligent Computing -

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Résumé :
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.

Sommaire:
The First Section: Advanced Evolutionary Computing Theory and Algorithms.- Co-Evolutionary Cultural Based Particle Swarm Optimization Algorithm.- Non-cooperative Game Model Based Bandwidth Scheduling and the Optimization of Quantum-Inspired Weight Adaptive PSO in a Networked Learning Control System.- Modified Bacterial Foraging Optimizer for Liquidity Risk Portfolio Optimization.- A Combined System for Power Quality Improvement in Grid-Parallel Microgrid.- A Distance Sorting Based Multi-Objective Particle Swarm Optimizer and Its Applications.- A Discrete Harmony Search Algorithm.- CFBB PID Controller Tuning with Probability based Binary Particle Swarm Optimization Algorithm.- A Novel Cultural Algorithm and Its Application to the Constrained Optimization in Ammonia Synthesis.- Pareto Ant Colony Algorithm for Building Life Cycle Energy Consumption Optimization.- Particle Swarm Optimization Based Clustering: A Comparison of Different Cluster Validity Indices.- A Frequency Domain Approach to PID Controllers Design in Boiler-Turbine Units.- An Estimation of Distribution Algorithm Based on Clayton Copula and Empirical Margins.- Clonal Selection Classification Algorithm for High-Dimensional Data.- The Second Section: Advanced Neural Network Theory and Algorithms.- A General Framework for High-Dimensional Data Reduction Using Unsupervised Bayesian Model.- The Model Following Neural Control Applied to Energy-Saving BLDC Air Conditioner System.- Develop of Specific Sewage Pretreatment and Network Monitoring System.- Application of Radial Basis Function Neural Network in Modeling Wastewater Sludge Recycle System.- Improved Stability Criteria for Delayed Neural Networks.- Aplication of the Single Neuron PID Controller on the Simulated Chassis Dynamometer.- Research on the Neural Network Information Fusion Technology for Distinguishing Chemical Agents.- The Third Section: Innovative Education in Systems Modeling and Simulation.- Simulating Energy Requirements for an MDF Production Plant.- Three-Dimensional Mesh Generation for Human Heart Model.- Interactive Identification Method for Box-Jenkins Models.- Research on Nano-repositioning of Atomic Force Microscopy Based on Nano-manipulation.- Research on Expression Method of a Unified Constraint Multi-domain Model for Complex Products.- The Fourth Section: Intelligent Methods in Developing Vehicles, Engines and Equipments.- An Automatic Collision Avoidance Strategy for Unmanned Surface Vehicles.- Research on Fire-Engine Pressure Balance Control System Based Upon Neural Networks.- The Summary of Reconstruction Method for Energy Conservation and Emission Reduction of Furnace.- Osmotic Energy Conversion Techniques from Seawater.- The Fifth Section: Fuzzy, Neural, and Fuzzy-Neuro Hybrids.- Vibration Monitoring of Auxiliaries in Power Plants Based on AR (P) Model Using Wireless Sensor Networks.- Performance Prediction for a Centrifugal Pump with Splitter Blades Based on BP Artificial Neural Network.- Short-Term Traffic Flow Prediction Based on Interval Type-2 Fuzzy Neural Networks.- Neural Network and Sliding Mode Control Combining Based Reconfigurable Control.- Study on Membrane Protein Interaction Networks by Constructing Gene Regulatory Network Model.