Parameter Optimization Method in Wood Gasification Process Based on Parallel Selection Algorithm

摘要：

In this paper, a new multi-objective optimization model of wood biomass gasification process has been established based on the research of literature |l|. And used the parallel selection genetic algorithm as optimization method to optimize the parameters of wood gasification process. The calculation result shows that parameters optimization target value is very close to the experimental value when the performance indicators reach maximum and optimization results used method of parallel selection genetic algorithm is better than ideal point method of literature 1. Thus it is proved that this method is feasible and effective for parameter optimization of wood biomass gasification process, providing reference for biomass of this type gasification process optimization.

关键词： wood biomass gasification process parallel selection algorithm optimization

作者: LI Da-zhong ZHU Hong

作者单位: School of Control Science and Engineering North China Electric Power University Baoding,China School of Control Science and Engineering North China Electric Power University Baoding, China

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems(2010 IEEE 智能计算与智能系统国际会议 ICIS 2010)

会议地点: 厦门

会议语种:英文

页码: 800-803

在线出版日期: 2010-10-29（万方平台首次上网日期，不代表论文的发表时间）