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Algorithms . Chichester-New York-Weinheim-Brisbane-Singapore-Toronto: John Wiley & Sons, xix+497 p. 5. Gembicki, F.W. (1973) Vector Optimization for Control with Performance and Parameter Sensitivity Indices . Ph.D. Thesis, Department of System Engineering, Case Western Reserve University, Cleveland, USA, 204 p. 6. Gembicki, F.W., and Haimes, Y.Y. (1975) Approach to Performance and Sensitivity Multiobjective Optimization: The Goal Attainment Method. IEEE Transactions on Automatic Control , 29(6), pp. 769-771. 7. Goncharsky, A.V., Leonov, A.S., and Yagola, A.G. (1973) A

to modeling and optimization using artificial neural networks. Polymers, 10 (143), 1-17. [12] Pasandideh, S.H, Niakti, S.T.A., Atyabi, S.M. (2014). A new approach to solve multi-response statistical optimization problems using neural network, genetic algorithm, and goal attainment methods. International Journal of Advanced Manufacturing Technology, 75, 1149-1162. [13] Warby, M.K., Whitemana, J.R., Jiang, W.G., Warwick, P., Wright, T. (2003). Finite element simulation of thermoforming processes for polymer sheets. Mathematics and Computers in Simulation, 61, 209