Kinetic Parameter Estimation of Oxidation in Supercritical Water Based on Modified Differential Evolution

In order to obtain global optimum of kinetic parameters,a novel modified differential evolution(MDE) algorithm containing the adaptive mutation operator, in which the mutation probability is(determined) according to the evolved generations,is proposed.The adaptive mutation operator keeps the individuals' diversity in the population at the initial generations to overcome the premature and reduces the mutation probability gradually during the evolutionary process to preserve the excellent individuals and(enhance) the probability of obtaining the global optimum.To compare the performances of MDE with those of the traditional differential evolution(DE),MDE and DE are applied to searching the global optimum of analytical function.The results demonstrate that MDE's on-line and off-line performances are all superior to those of DE,the probability of obtaining the global optimum is larger than that of DE,and the parameter sensitivity degree of MDE is lower than that of DE.Further more,MDE is applied to estimating the(kinetic) parameters of the 2-chloropheol oxidation in supercritical water.Satisfactory results show the absolute value of model's analog relative total error decreases by 14.2% compared with the reported literature data.