References
- Tucci, CEM, 1998. Modelos hidrológicos. Porto Alegre: ABRH Editora da UFRGS; 1998.
- Medeiros, FLL, , Hybrid genetic algorithm as a search scheme of steady state of dynamical systems, M.Sc. thesis, Instituto Nacional de Pesquisas Espaciais (INPE), São José dos Campos (SP), Brazil, 2002.
- Chiwiacowsky, L, and Campos Velho, HF, 2003. Different approaches for the solution of a backward heat conduction problem, Inv. Probl. Eng. 11 (6) (2003), pp. 471–494.
- Yapo, PO, Gupta, HV, and Sorooshian, S, 1998. Multi-objective global optimization for hydrological models, J. Hydrol. 204 (1998), pp. 83–97.
- Nelder, JA, and Mead, R, 1965. A simplex method for function minimization, Comput. J. 7 (1965), pp. 308–313.
- Schaffer, JD, , Multiple objective optimization with vector evaluated genetic algorithms, Ph.D. thesis, Vanderbilt University, Nashville, TN, 1984.
- Zadeh, LA, 1963. Optimality and non-scalar valued performance criteria, IEEE Trans. 8 (1) (1963), pp. 59–60.
- Goicoechea, A, Hasen, DR, and Dukstein, L, 1982. Multi-objective Decision Analysis With Engineering and Business Applications. New York: John Wiley; 1982.
- Erickson, M, Mayer, A, and Horn, J, 2002. Multi-objective optimal design of groundwater remediation systems: Application of the niched Pareto Genetic Algorithm (NPGA), Adv. Water Res. 25 (2002), pp. 51–65.
- Goldberg, DE, 1989. Genetic Algorithms in Search, Optimization and Machine learning. New York: Addison–Wesley; 1989.
- Cuco, APC, Silva Neto, AJ, Campos Velho, HF, and Souza, FL, 2009. Solution of an inverse adsorption problem with an epidemic genetic algorithm and the generalized extremal optimization algorithm, Inverse Probl. Sci. Eng. 17 (13) (2009), pp. 289–302.
- Bravo, JM, Allasia, DG, Collischom, W, Tassi, R, Meller, A, and Tucci, CM, , Avaliação visual e numérica da calibração do modelo IPH II com fins educacionais, Anais do XVII Simpósio Brasileiro de Recursos Hídricos, São Paulo (SP), Brazil, 2007.
- Bravo, JM, Collischon, W, and Tucci, CEM, 2009. Verificação de eficiência de um algoritmo evolucionário multiobjectivo na calibração automática do modelo hidrológico IPH II, Revista Brasileira de Recursos Hídricos-RBRH. 14 (2009), pp. 37–60, Porto Alegre, RS.