Whole Flow Optimization Based on Prior Knowledge in Chemical Process

摘要：

Conventional optimization methods in which chemical process is optimized as a whole flow have some limits and intelligent optimization methods cost more time. In order to quickly get the optimal operation conditions, a new heuristic method is introduced based on process prior knowledge. In the method dynamic equations of decision variables are adjusted by prior knowledge and the properties of Particle Swarm optimization method are also used. It is applied in the whole flow optimization of poly(ethylene-terephthalate) process. The optimization results could be easily used in practice and got good results.

关键词： Prior Knowledge Intelligent Algorithm Whole Flow Process PSO

作者: Na Luo Feng Qian Ling Zhao

作者单位: Automation Research Center,East China University of Science & Technology,Shanghai 200237,China State-Key Laboratory of Chemical Engineering，Ecust China University of Science & Technology,Shanghai

会议类型: 国际会议

会议名称: 第四届亚洲过程系统工程会议暨2007年中国国际系统工程年会(The 4th International Symposium on Design,Operation & Control of Chemical Processes)(PSE ASIA 2007)

会议地点: 西安

会议语种:英文

在线出版日期: 2007-08-15（万方平台首次上网日期，不代表论文的发表时间）