This article presents the application of global optimizers combined with Artificial Neural Networks (ANN) to the history matching problem. An evolutionary algorithm is executed on the proxy generated through the ANN technique. The results obtained from evolutionary algorithms are fine-tuned by using a local optimizer based on the Hooke and Jeeves optimization method. The methodology is applied in two reservoir models and promising results were obtained.47112225FLETCHER, R., Practical Methods of Optimization John Wiley & Sons, Ltd., Chichester, UK, 1987MARQUARDT, D.W., An Algorithm for Least-Squares Estimation of Nonlinear Parameters (1963) Journal of the Society for Industrial and Applied Mathematics, 11 (2), pp. 431-441POWELL, M.J.D., A Hybrid Method for Nonlinear Equations (1970) Numerical Methods for Nonlinear Algebraic Equations, , Rabinowitz, P, ed, Gordon and Breach, London, UKSCHULZE-RIEGERT, R.W., AXMANN, J.K., HAASE, O., RIAN, D.T., YOU, Y.-L., Evolutionary Algorithms Applied to History Matching of Complex Reservoirs (2002) SPE Reservoir Evaluation & Engineering, 5 (2), pp. 163-173. , AprilYETEN, B., DURLOFSKY, L.J., AZIZ, K., Optimization of Nonconventional Well Type, Location and Trajectory (2002) SPE Annual Technical Conference and Exhibition, , paper SPE 77565 presented at the, San Antonio, TX, 29 September-2 OctoberSCHULZE-RIEGERT, R.W., HAASE, O., NEKRASSOV, A., Combined Global and Local Optimization Techniques Applied to History Matching (2003) SPE Reservoir Simulation Symposium, , paper SPE 79668 presented at the, Houston, TX, 3-5 FebruaryORR, M.J.L., Regularizaron in the Selection of Radial Basis Function Centers (1995) Neural Computation, 7 (3), pp. 606-623. , MayJANG, J.-S.R., Adaptive-Network-Based Fuzzy Inference System (1993) IEEE Transactions On System, Man and Cybernetics, 23 (23), pp. 665-685. , ANFIS:, May/JuneSHOAIB, M., AWAIS, M., MASUD, S., SHAMAIL, S., AKHTAR, J., Application of Concurrent Generalized Regression Neural Networks for Arabic Speech Recognition (2004) from Proceedings of Neural Networks and Computational Intelligence (NCI). Gindelwald, , Switzerland, 23-25 FebruaryMASCHIO, C., SCHIOZER, D.J., MOURA FILHO, M.A.B., A Methodology to Quantify the Impact of Uncertainty in the History Matching Process and in the Production Forecast (2005) SPE Annual Technical Conference and Exhibition, Dallas, TX, 9-12, , paper SPE 96613 presented at the OctoberMASCHIO, C., SCHIOZER, D.J., Ajuste de Histórico Assistido Usando Métodos de Otimização de Busca Direta(2004) Rio Oil & Gas Conference and Expo, Rio de Janeiro. Brazil, 4-7, , paper IBP 06204 presented at the OctoberSILVA, P.C., MASCHIO, C., SCHIOZER, D.J., Applications of the Soft Computing in the Automated History Matching (2006) Petroleum Society's 7th Canadian International Petroleum Conference (57 th Annual Technical Meeting), , paper 2006-012 presented at the, Calgary, AB, 13-15 June