An improved filter-SQP for process optimization
An improved filter-SQP in modular simulator environment is studied. Infeasible path strategy is applied. The constraint function in filter-SQP is composed of tear equations, specific designs and unsatisfied inequations. K-T error is no longer used as the convergence criterion in our paper. The objective function and constraints converging at the same time is used to check if the optimization finishes. A successive scaling strategy improving the efficiency of optimization is proposed for filter-SQP. Case study is encouraging.
process optimization filter-SQP scaling convergence criterion.
Yue Jincai Zheng Shiqing Cheng Huanong Han Fangyu
College of Chemical Engineering,South China University of Technology,Guangzhou 510640,China;Research Research Center for Computer and Chemical Engineering,Qingdao University of Science and Technology,Q
国际会议
西安
英文
2007-08-15(万方平台首次上网日期,不代表论文的发表时间)