Computers & Chemical Engineering, Vol.35, No.11, 2351-2365, 2011
Optimization of industrial CSTR for vinyl acetate polymerization using novel shuffled frog leaping based hybrid algorithms and dynamic modeling
Industrial scale continuous stirred tank reactor (CSTR) for production and grade transitions of poly vinyl acetate (PVAc) at the different reactor sizes was investigated. Such reactor is known to show oscillatory behavior and to have periodic limit points, particularly at high molecular weights. Four efficient novel hybrid optimization methods which use variable population size genetic algorithm (VPGA), bacterial optimization algorithm (BO) and shuffled frog leaping method (SFL) were introduced for this kind of reactors. These algorithms can reliably find dynamically stable points with desired conditions for PVAc production. The dynamic modeling combined with the new hybrid optimization methods were used to obtain the optimal operating conditions which increased the outlet flow rate by 17%. (C) 2011 Elsevier Ltd. All rights reserved.
Keywords:Hybrid optimization methods;Variable population size genetic algorithm;Bacterial optimization;Shuffled frog leaping;Polymerization