A Comparative Study of Differential Evolution Algorithms for Estimation of Kinetic Parameters

The problem of estimating kinetic parameters in dynamic models is important and even more difficult than with algebraic models. The solution of these types of problems is usually very difficult due to their highly nonlinear, multidimensional and multimodal nature. This paper presents a comparative study of Differential Evolution (DE) algorithms for solving such problems. In this work, two modified versions of DE algorithm [called Modified Differential evolution (MDE) and Trigonometric Differential Evolution (TDE)] are used to solve kinetic parameter estimation problems from chemical engineering field. The computational efficiency of MDE algorithm is compared with that of DE and TDE algorithms. Results indicate that performance of MDE algorithm is better than that of DE and TDE algorithms.