A genetic algorithm based Peng-Robinson equation of state for solubility modeling of cinnamic acid in supercritical carbon dioxide

In this paper genetic algorithm optimization method is used for optimization of the binary interaction parameters of Peng-Robinson equation of state. In the next step, optimized Peng- Robinson equation of state is used for solubility modeling of cinnamic acid in supercritical carbon dioxide. Results showed that the proposed method for optimization of binary interaction parameters is more accurate than the traditional trial and error methods.

کلیدواژه ها:

genetic algorithm ، Peng-Robinson ، binary interaction parameter ، supercritical carbon dioxide ، cinnamic acid