Optimal Biocompatible Solvent Design by Mixed-integer Hybrid Differential Evolution

In this study, a flexible optimization approach is introduced to design an optimal biocompatible solvent for an extractive fermentation process with cell-recycling. The optimal process/solvent design problem is formulated as a mixed-integer nonlinear programming model in which performance requiremen...

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Main Authors: Hou-Chieh Cheng, Feng-Sheng Wang
Format: Article
Language:English
Published: Academic Publishing House 2008-04-01
Series:Bioautomation
Subjects:
Online Access:http://www.clbme.bas.bg/bioautomation/2008/vol_9.1/files/9_2.2.pdf
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author Hou-Chieh Cheng
Feng-Sheng Wang
author_facet Hou-Chieh Cheng
Feng-Sheng Wang
author_sort Hou-Chieh Cheng
collection DOAJ
description In this study, a flexible optimization approach is introduced to design an optimal biocompatible solvent for an extractive fermentation process with cell-recycling. The optimal process/solvent design problem is formulated as a mixed-integer nonlinear programming model in which performance requirements of the compounds are reflected in the objectives and the constraints. A flexible or fuzzy optimization approach is applied to soften the rigid requirement for maximization of the production rate, extraction efficiency and to consider the solvent utilization rate as the softened inequality constraint to the process/solvent design problem. Such a trade-off problem is then converted to the goal attainment problem, which is described as the constrained mixed-integer nonlinear programming (MINLP) problem. Mixed-integer hybrid differential evolution with multiplier updating method is introduced to solve the constrained MINLP problem. The adaptive penalty updating scheme is more efficient to achieve a global design.
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spelling doaj.art-31968fae542346cd98e6b2477e7b4aac2022-12-22T00:48:13ZengAcademic Publishing HouseBioautomation1313-261X1312-451X2008-04-01911530Optimal Biocompatible Solvent Design by Mixed-integer Hybrid Differential EvolutionHou-Chieh ChengFeng-Sheng WangIn this study, a flexible optimization approach is introduced to design an optimal biocompatible solvent for an extractive fermentation process with cell-recycling. The optimal process/solvent design problem is formulated as a mixed-integer nonlinear programming model in which performance requirements of the compounds are reflected in the objectives and the constraints. A flexible or fuzzy optimization approach is applied to soften the rigid requirement for maximization of the production rate, extraction efficiency and to consider the solvent utilization rate as the softened inequality constraint to the process/solvent design problem. Such a trade-off problem is then converted to the goal attainment problem, which is described as the constrained mixed-integer nonlinear programming (MINLP) problem. Mixed-integer hybrid differential evolution with multiplier updating method is introduced to solve the constrained MINLP problem. The adaptive penalty updating scheme is more efficient to achieve a global design.http://www.clbme.bas.bg/bioautomation/2008/vol_9.1/files/9_2.2.pdf Biocompatible solventFlexible optimization approachExtractive fermentation
spellingShingle Hou-Chieh Cheng
Feng-Sheng Wang
Optimal Biocompatible Solvent Design by Mixed-integer Hybrid Differential Evolution
Bioautomation
Biocompatible solvent
Flexible optimization approach
Extractive fermentation
title Optimal Biocompatible Solvent Design by Mixed-integer Hybrid Differential Evolution
title_full Optimal Biocompatible Solvent Design by Mixed-integer Hybrid Differential Evolution
title_fullStr Optimal Biocompatible Solvent Design by Mixed-integer Hybrid Differential Evolution
title_full_unstemmed Optimal Biocompatible Solvent Design by Mixed-integer Hybrid Differential Evolution
title_short Optimal Biocompatible Solvent Design by Mixed-integer Hybrid Differential Evolution
title_sort optimal biocompatible solvent design by mixed integer hybrid differential evolution
topic Biocompatible solvent
Flexible optimization approach
Extractive fermentation
url http://www.clbme.bas.bg/bioautomation/2008/vol_9.1/files/9_2.2.pdf
work_keys_str_mv AT houchiehcheng optimalbiocompatiblesolventdesignbymixedintegerhybriddifferentialevolution
AT fengshengwang optimalbiocompatiblesolventdesignbymixedintegerhybriddifferentialevolution