化工过程的多目标优化问题  

Multi-objective optimization (MOO) of chemical process

作　　者：韩晓霞[1] 程铭[2] 刘树森[2] 赵超凡 任军[2] 

机构地区：[1]太原理工大学信息工程学院,山西太原030024 [2]太原理工大学山西省煤科学与技术重点实验室-省部共建国家重点实验室培育基地,山西太原030024

出　　处：《现代化工》2017年第11期194-197,199,共5页Modern Chemical Industry

基　　金：国家自然科学基金项目(21606159;21376159)

摘　　要：综述了常用的多目标求解方法,并结合实例讨论了多目标优化在反应器设计、工艺优化、催化剂筛选方面的应用。多目标优化通过模拟化学反应的过程为生产工艺的优化提供理论指导,可以大大提高化工工艺条件的筛选效率,有效降低化工生产各个环节的成本。This paper reviewed the common methods of Multi-objective optimization（ MOO）,and discussed the application of MOO in the reactor design,chemical process optimization,catalyst screening combined with the specific examples.MOO can provide theoretical directions for industrial production by means of simulating the chemical reaction process,thus to improve the efficiency of parameter screening for industrial production,reduce the cost of different industrial sections,its application and spread would probably promote the development of chemical industry.

关 键 词：化工过程 多目标优化 反应器设计 工艺优化 催化剂筛选 

分 类 号：TQ015.9[化学工程]