Optimization of simulation

Z. Y. Zhang, K. Hidajat, A. K. Ray, Multiobjective optimization of simulated countercurrent moving bed chromatographic reactor (SCMCR) for MTBE synthesis. 

Z. Zhang, M. Mazzotti, M. Morbidelli, Multiobjective optimization of simulated moving bed and Varicol processes using a genetic algorithm. 

Zhang Z., Hidajat K., Ray A.K. and Morbidelli M., Multiobjective optimization of simulated moving bed system and Varicol process for chiral separation, AIChE J. (2002) in press. 

Beste, Y. A., Lisso, M., Wozny, G., Arlt, W. Optimization of simulated moving bed plants with low efficient stationary phases separation of fructose and glucose, J. Chromatogr. A, 2000, 868, 169-188. 

Toumi, A., Engell, S., Ludemann-Hombourger, O., Nicoud, R. M., Bailly, M. Optimization of simulated moving bed and VARICOL processes, J. Chromatogr. A, 2003, 1006, 15-31. 

Subramani, H. J., Hidajat, K. and Ray, A. K. (2003a). Optimization of simulated moving bed Varicol processes for glucose-fructose separation, Trans IChemE., 81, pp. 549-567. 

Li, S., Kawajiri, Y, Raisch, J., and Seidel-Morgenstern, A. (2010a) Optimization of simulated moving bed chromatography with fractionation and feedback Part I. Fractionation of one outlet. 

Ktipper, A. and Engell, S. (2011) Optimization of simulated moving bed processes, in Constrained Optimization and Optimal Control of Partial Differential Equations (eds G. Leugeringet oL), Birkhauser, Basel, pp. 559—582. 

Ziomek, G. and Antos, D. (2005b) Stochastic optimization of simulated moving bed process sensitivity analysis for isocratic and gradient operation. Comp. Chem. Eng, 29, 1577-1589. 

Fiber orientation measurement on short fiber reinforced PUR-RIM components combination of nondestmctive testing methods for optimization of simulation and production processes. Tech. Mess., 7J, 617. 

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