The Characterization of Microporous Activated Carbons Utilizing a Simple Adsorption Genetic Algorithm (SAGA)

The paper presents a new simple adsorption genetic algorithm (SAGA) which is based on the genetic theory of natural selection and rivalry. This algorithm is utilized to estimate the parameters of the Dubinin–Rhadushkevich equation. The obtained results are compared with these achieved from the classical optimization methods. The analysis of the error of fitting of the DR model to experimental data is discussed. It is shown that the proposed SAGA, contrary to the other methods, makes it possible to calculate the parameters of the DR equation not only very precisely but also very quickly.