THIS STUDY SURVEYS EXPERIMENTAL MICROFILTRATION OF OIL-IN-WATER EMULSION WITH DIFFERENT CONCENTRATIONS AND TMPS TO INVESTIGATE THE FOULING MECHANISMS OF OIL DROPLETS. IN THIS STUDY, Evolutionary programming (EP) WAS APPLIED AS A NOVEL APPROACH IN MEMBRANE FOULING TO PREDICT BOTH PERMEATE FLUX AND OIL REJECTION. IT WAS FOUND THAT FOR THE STUDIED SYSTEMS, THE EP MODEL NOT ONLY WAS ABLE TO PROVIDE WELL FITS OF EXPERIMENTAL DATA, BUT ALSO PREDICTED THE OIL REJECTION WITH AN ACCEPTABLE ACCURACY. THE RESULTS NOMINATED EP AS A POTENTIAL TOOL FOR IDENTIFYING FOULING BEHAVIOR OF A MEMBRANE PROCESS.