Please use this identifier to cite or link to this item:
|Title:||Phase Equilibrium Data Reconciliation Using Multi-Objective Differential Evolution with Tabu List|
Differential evolution with tabu list
Phase equilibrium modeling
|Citation:||Bonilla-Petriciolet, A.,Sharma, S.,Rangaiah, G.P. (2013-04-02). Phase Equilibrium Data Reconciliation Using Multi-Objective Differential Evolution with Tabu List. Multi-Objective Optimization in Chemical Engineering: Developments and Applications : 267-292. ScholarBank@NUS Repository. https://doi.org/10.1002/9781118341704.ch10|
|Abstract:||In this chapter, multi-objective optimization is employed for simultaneous parameter estimation and data reconciliation in phase equilibrium modeling. Specifically, we have analyzed the advantages and capabilities of multi-objective optimization for data reconciliation of vapor-liquid equilibrium using the error-in-variable formulation and activity coefficient models. A multi-objective optimization method based on differential evolution with tabu list is used to obtain the Pareto-optimal front in data reconciliation problems with three and four objectives. Finally, the application of some criteria of interest in thermodynamic modeling is illustrated to characterize the solutions obtained from the Pareto-optimal front of reconciled phase equilibrium data. In summary, the results show that multi-objective optimization is an alternative approach for performing data reconciliation in phase equilibrium modeling. © 2013 John Wiley & Sons, Ltd.|
|Source Title:||Multi-Objective Optimization in Chemical Engineering: Developments and Applications|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Jan 8, 2019
checked on Jan 12, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.