Andreou, S.A. & Georgopoulos, E.F. & Likothanassis, S.D; 2002, "Exchange-Rates Forecasting: A Hybrid Algorithm Based on Genetically Optimized Adaptive Neural Networks", Computational Economics, 20, pp, 191–210.
Bates, J.M. & Granger, C.W.J; 1969, "The combination of forecasts", Operations Research Quaeterly, 20,pp, 451-468.
Beenstock, M. & Szpiro, G; 2002, "Specification search in nonlinear time-series models using the genetic algorithm", Journal of Economic Dynamics & Control, 26, pp, 811-835.
Bisignano, J. & Hoover, k; 1982, "Some Suggested Improvements to a Simple Portfolio Balance Model of Exchange Rate Determination with Special Reference to the US Dollar Rate", American Economic Review, 119, 19-37.
Brandl, B. & Wildburger, u.l. & Pickl, s; 2009, "Increasing the fitness of fundamental exchange rate forecast models", International Journal Contemp. Math. Sciences, 4, No16, pp, 779-798.
Cheung, Y.W. & Chinn, M.D. & Pascual, A.G; 2005, "Empirical exchange rate models of the nineties: Are any fit to survive?", Journal of Internatinal Money and Finance, 24, pp, 1150-1175.
Diebold, F.X. & Pauly, P; 1990, "The use of prior information in forecast combination", International Journal of Forecasting, 6, pp, 503-508.
Diebold, F.X. & Pauly, P; 1987, "Structural change and the combination of forecasts", Journal of Forecasting, 6, pp, 21-40.
Eichenbaum, M. & Evans, C; 1995, "Some empirical evidence on the effects of shocks to monetary policy on exchange rates", Quarterly Journal. Economics, 110, pp, 975-999.
Gonzalez, E.A. & Rodriguez, F.F; 2001, "Model selection via genetic algorithms", Spanish Ministry of Science and Technology, 2-8.
Holland J. H; 1975, Adaptation in Natural and Artificial Systems, University of Michigan Press.
Lam, L. & Fung, L. & Yu, I.W; 2008, "Comparing forecast performance of exchange rate models", Hong Kong Monetary Authority, 6.
Lawrenz, C. & Westerhoff, F; 2003, "Modeling exchange rate behavior with a genetic algorithm", Computational Economics, 21, pp, 209-229.
Makridakis, S; 1989, "Why combining works?", International Journal of Forecasting, 5: 601-603.
Mark, N.C; 1995, "Exchange rates and fundamentals: Evidence on long-horizon predictability", American Economic Review, 85, pp, 201-218.
Meese, R.A. & Rogoff, K; 1983, "Empirical exchange rate models of the Seventies: Do they ﬁt out of sample?", Journal of International Economics, 14, pp, 3-24.
Mitra, SH. & Mitra, A; 2006, "Modeling exchange rates using wavelet decomposed genetic neral networks", Statistical Methodology, 3, pp, 103-124.
Moura, M.L. & Lima, A.R.S; 2007, "Empirical exchange rate models fit: The case of Brazil", IMF, 3.
Nag, A.K. & Mitra, A; 2002, "Forecasting daily foreign exchange rates using genetically optimized neural networks", Journal of Forecasting, 21, pp, 501-511.
Neely, CH.J. & Weller, P.A; 2002, "Predictiog exchange rate volatility: Genetig programming versus GARCH and RiskMetrices", Federal Reserve Bank of St. Louis, 43.
Qi, M. & Wu, Y.(2003), "Nonlinear prediction of exchange rates with monetary fundamentals", Journal of Empirical Finance, 10, 623-640.
Rasekhi, S. & Jafari Samimi, A. & Abounoori, E. & Rostamzadeh, M; 2011, "Application of genetic algorithms in the fundamental and technical models of exchange rate optimization: A case study for Iran", World Applied Sciences Journal, 14, pp, 98-107.
Shin, T. & Han, I; 2000, "Optimal signal multi-resolution by genetic algorithms to support artificial neural networks for exchange rate forecasting", Expert System with Application, 18, pp, 257-269.
Smith, J. & Wallis, K F; 2009, "A Simple Explanation of the Forecast Combination Puzzle", OXFORD BULLETIN OF ECONOMICS AND STATISTICS, 71, PP, 331-355.
Timmermann, A; 2006, "Forecast combination", In Elliott G., Granger C. W. J. and Timmermann A.(eds), Handbook of Economic Forecasting, North-Holland, Amesterdam, pp, 135-196.