Global Optimization in Design under Uncertainty: Feasibility Test and Flexibility Index Problems
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- 作者：Christodoulos A. Floudas ; Zeynep H. Gü ; mü ;
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- 刊名：Industrial & Engineering Chemistry Research
- 出版年：2001
- 出版时间：October 3, 2001
- 年：2001
- 卷：40
- 期：20
- 页码：4267 - 4282
- 全文大小：240K
- 年卷期：v.40,no.20(October 3, 2001)
- ISSN：1520-5045
文摘
Design feasibility and flexibility are recognized as important operability characteristics of achemical process. This is due to the variability of the parameters that appear in process operationsand the increasing market environment competition, which requires reliability in meeting productdemands and quality specifications. In this work, a novel approach is presented for the evaluationof design feasibility/flexibility based on the principles of the deterministic global optimizationalgorithm 
BB (Adjiman, C. S.; Androulakis, I. P.; Floudas, C. A. Comput. Chem. Eng. 1998, 22(9), 1159. Adjiman, C. S.; Floudas, C. A. J. Global Optim. 1996, 9, 23-40. Adjiman, C. S.; Dallwig,S.; Floudas, C. A.; Neumaier, A. Comput. Chem. Eng. 1998, 22 (9), 1137. Androulakis, I. P.;Maranas, C. D.; Floudas, C. A. J. Global Optim. 1995, 7, 337), which, in turn, relies on adifference-of-convex-functions transformation and a branch-and-bound framework. The proposedapproach can address problems that are described through general nonconvex equality andinequality constraints. A number of examples illustrate the applicability and efficiency of theproposed global optimization framework for both the feasibility test and flexibility index problems.
BB (Adjiman, C. S.; Androulakis, I. P.; Floudas, C. A. Comput. Chem. Eng. 1998, 22(9), 1159. Adjiman, C. S.; Floudas, C. A. J. Global Optim. 1996, 9, 23-40. Adjiman, C. S.; Dallwig,S.; Floudas, C. A.; Neumaier, A. Comput. Chem. Eng. 1998, 22 (9), 1137. Androulakis, I. P.;Maranas, C. D.; Floudas, C. A. J. Global Optim. 1995, 7, 337), which, in turn, relies on adifference-of-convex-functions transformation and a branch-and-bound framework. The proposedapproach can address problems that are described through general nonconvex equality andinequality constraints. A number of examples illustrate the applicability and efficiency of theproposed global optimization framework for both the feasibility test and flexibility index problems.