APPLICATION OF EVOLUTIONARY POLYNOMIAL REGRESSION IN ULTRAFILTRATION SYSTEMS CONSIDERING THE EFFECT OF DIFFERENT PARAMETERS ON OILY WASTEWATER TREATMENT

In the present work, the effects of operating conditions including ph, transmembrane pressure, oilconcentration, and temperature on fouling resistance and the rejection of turbidity for a polymericmembrane in an ultrafiltration system of wastewater treatment were studied. a new modelingtechnique called evolutionary polynomial regression (epr) was investigated. epr is a method basedon regression algorithm, which combines the best properties of the conventional numericalregression technique. this paper employs the capability of epr as a powerful tool to develop aformula with a variable number of polynomial coefficients. herein, the evolutionary polynomialregression approach is adopted on two parametric studies, i.e. total fouling resistance andrejection rate. these parameters are all evaluated as a function of some mentioned independentvariables. maximum average error and minimum average error are obtained to be equal to 4.25%and 0.05%, respectively. therefore, epr is a practical and useful method to describe a membraneperformance.