Modeling Identification of Power Plant Thermal Process Based on a Simplified E.Coli Foraging Algorithm

摘要：

In order to overcome the disadvantages of common model identification methods for thermal process, a novel identification solution based on the simplified E.Coli foraging algorithm was proposed in this paper. The effectiveness of the proposed identification algorithm is tested by simulation experiments in the common thermal process models. The experiments show excellent results in term of identification accuracy and effectiveness. The simplified E.Coli foraging algorithm provides the characteristics of ease realization and high identification accuracy compared with the identification results by improved genetic algorithm.

关键词： Simplified E.Coli Foraging Algorithm Identification, Thermal Process, Optimization Simulation

作者: Yijian Liu Shizhuang Lin Jingyu Liu Yanjun Fang

作者单位: College of Electric and Automation Engineering, Nanjing Normal University, Nanjing, 210042 China. Shajao C Power Station of Guangdong YuDean Group Co., Ltd., China the department of automation, Wuhan University, Wuhan, 430027, China

会议类型: 国际会议

会议名称: The Second International Symposium on Intelligence Computation and Applications(ISICA 2007)(第二届智能计算及其应用国际会议)

会议地点: 武汉

会议语种:英文

在线出版日期: 2007-09-21（万方平台首次上网日期，不代表论文的发表时间）