Please use this identifier to cite or link to this item: https://doi.org/10.1016/S1570-7946(03)80458-3
Title: Application of multi-objective optimization in the design of SMB in chemical process industry
Authors: Yu, W.
Hariprasad, J.S.
Zhang, Z.
Hidajat, K. 
Ray, A.K. 
Keywords: genetic algorithm
Multi-objective optimization
Pareto
SMB
Varicol
Issue Date: 2003
Source: Yu, W.,Hariprasad, J.S.,Zhang, Z.,Hidajat, K.,Ray, A.K. (2003). Application of multi-objective optimization in the design of SMB in chemical process industry. Computer Aided Chemical Engineering 15 (C) : 1118-1122. ScholarBank@NUS Repository. https://doi.org/10.1016/S1570-7946(03)80458-3
Abstract: A new optimization and design strategy, multi-objective optimization, is applied to improve the performance of Simulated Moving Bed (SMB) and its modification, the Varicol systems with or without reactions. The capabilities of the new approach are illustrated considering three different applications of SMB (and Varicol process), namely, chiral drug separation, production of high concentrated fructose syrup and synthesis of methyl acetate ester. The non-dominated sorting genetic algorithm (NSGA) is used in obtaining Pareto optimal solutions. It was found that significant improvement is possible for both SMB and Varicol process. © 2003 Elsevier B.V. All rights reserved.
Source Title: Computer Aided Chemical Engineering
URI: http://scholarbank.nus.edu.sg/handle/10635/66458
ISSN: 15707946
DOI: 10.1016/S1570-7946(03)80458-3
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

39
checked on Dec 7, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.