摘要
Reduced-space SQP algorithms for optimization of distillation column are studied.Variables decomposition is used to eliminate dependent variables and equality constraints,which reduce the dimension of QP sub-problems involved in iterations of SQP.Compared with the one based on orthonormal bases,reduced-space SQP based on orthogonal bases retains the convergence property while avoids QR decompositon.The improved computation efficiency is illustrated in a enzene/toluene distillation column optimization example, based on author’s,previous work.
Reduced-space SQP algorithms for optimization of distillation column are studied.Variables decomposition is used to eliminate dependent variables and equality constraints,which reduce the dimension of QP sub-problems involved in iterations of SQP.Compared with the one based on orthonormal bases,reduced-space SQP based on orthogonal bases retains the convergence property while avoids QR decompositon.The improved computation efficiency is illustrated in a enzene/toluene distillation column optimization example, based on author's,previous work.
出处
《化工学报》
EI
CAS
CSCD
北大核心
1998年第4期511-514,共4页
CIESC Journal
基金
"九五"国家重点科技(攻关)计划!96-728
