An artificial neural network (ANN) model has been developed to predict research octane number (RON) of motor gasoline and compared with a multiple linear regression (MLR) model available in the literature. Further a global optimization technique has been applied to predict probable composition of blends with desired RON and specified properties. (C) 2004 Elsevier B.V. All rights reserved.