Open AccessKinetic Parameter Estimation Using Modified Differential Evolution
Author(s) -
Rakesh Angira
Publication year - 2011
Publication title -
international journal of electronic signal and systems
Language(s) - English
Resource type - Journals
ISSN - 2231-5969
DOI - 10.47893/ijess.2011.1022
Subject(s) - differential evolution , estimation theory , evolutionary computation , computer science , computation , trigonometry , evolutionary algorithm , differential (mechanical device) , nonlinear system , field (mathematics) , kinetic energy , algorithm , mathematics , mathematical optimization , artificial intelligence , engineering , physics , geometry , quantum mechanics , pure mathematics , aerospace engineering
For the development of mathematical models in chemical engineering, the parameter estimation methods are very important as design, optimization and advanced control of chemical processes depend on values of model parameters obtained from experimental data. Nonlinearity in models makes the estimation of parameter more difficult and more challenging. This paper presents an evolutionary computation approach for solving such problems. In this work, a modified version of Differential Evolution (DE) algorithm [named Modified Differential evolution (MDE)] is used to solve a kinetic parameter estimation problem from chemical engineering field. The computational efficiency of MDE is compared with that of original DE and Trigonometric Differential Evolution (TDE). Results indicate that performance of MDE algorithm is better than that of DE and TDE.