共 54 条
New algorithms for mixed-integer dynamic optimization
被引:92
作者:
Bansal, V
[1
]
Sakizlis, V
[1
]
Ross, R
[1
]
Perkins, JD
[1
]
Pistikopoulos, EN
[1
]
机构:
[1] Univ London Imperial Coll Sci Technol & Med, Dept Chem Engn, Ctr Proc Syst Engn, London SW7 2BY, England
基金:
英国工程与自然科学研究理事会;
关键词:
mixed-integer optimization;
dynamic modelling;
process design;
process control;
distillation;
gPROMS;
D O I:
10.1016/S0098-1354(02)00261-2
中图分类号:
TP39 [计算机的应用];
学科分类号:
081203 ;
0835 ;
摘要:
Mixed-integer dynamic optimization (MIDO) problems arise in chemical engineering whenever discrete and continuous decisions are to be made for a system described by a transient model. Areas of application include integrated design and control, synthesis of reactor networks, reduction of kinetic mechanisms and optimization of hybrid systems. This article presents new formulations and algorithms for solving MIDO problems. The algorithms are based on decomposition into primal, dynamic optimization and master, mixed-integer linear programming sub-problems. They do not depend on the use of a particular primal dynamic optimization method and they do not require the solution of an intermediate adjoint problem for constructing the master problem, even when the integer variables appear explicitly in the differential-algebraic equation system. The practical potential of the algorithms is demonstrated with two distillation design and control optimization examples. (C) 2002 Elsevier Science Ltd. All rights reserved.
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页码:647 / 668
页数:22
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