Life System Modeling and Intelligent Computing

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