A hybrid stochastic-deterministic optimization approach for integrated solvent and process design

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• 作者：Teng Zhou^a ; ^{zhout@mpi-magdeburg.mpg.de} ; Yageng Zhou^b ; Kai Sundmacher^a ; ^b
• 关键词：Computer-aided molecular design (CAMD) ; Integrated solvent and process design ; Genetic algorithm ; Hybrid stochastic and deterministic optimization ; Absorption&ndash ; desorption processes
• 刊名：Chemical Engineering Science
• 出版年：2017
• 出版时间：23 February 2017
• 年：2017
• 卷：159
• 期：Complete
• 页码：207-216
• 全文大小：765 K
• 卷排序：159

文摘

A novel optimization method is proposed for integrated solvent and process design. The method combines the advantages of stochastic and deterministic algorithms. The method is demonstrated on a coupled absorption–desorption process. The method can solve the design problem with high reliability and robustness. The method can be recommended for use in large-scale MINLP optimizations.