Global optimization techniques for the calibration of conceptual rainfall-runoff models;Techniques d'optimisation globales pour le calage de modèles conceptuels pluie-débit

Hydrological Sciences Journal

Volumn 43, Issue 3, 1998, Pages 443-458

  Franchini, M ^a   Galeati, G ^b   Berra, S ^c  

^a UNIVERSITY OF BOLOGNA   (Italy)

^b Centro di Ricerca Idraulica e Strutturale   (Italy)

^c UNIVERSITY OF FERRARA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

CALIBRATION; GENETIC ALGORITHMS; MATHEMATICAL MODELS; OPTIMIZATION; RAIN;

SEQUENTIAL QUADRATIC PROGRAMMING; SHUFFLED COMPLEX EVOLUTION (SCE);

RUNOFF;

CALIBRATION; MODEL; RAINFALL; RUNOFF;

EID: 0032096480     PISSN: 02626667     EISSN: 21503435     Source Type: Journal    
DOI: 10.1080/02626669809492137     Document Type: Article

References (14)

1. Davis, L., 1991. Handbook of Genetic Algorithms. New York.:Van Nostrand Reinhold.
2. Duan, Q., Sorooshian, S., and Gupta, V. K., 1992. Effective and efficient global optimization for conceptual rainfall-runoff models. Wat. Resour. Res., 24 (7):1163–1173.
3. Duan, Q., Sorooshian, S., and Gupta, V. K., 1993. A shuffled complex evolution approach for effective and efficient optimization. J. Optimiz. Theory Appl., 76 (3):501–521.
4. Duan, Q., Sorooshian, S., and Gupta, V. K., 1994. Optimal use of the SCE-UA global optimization method for calibrating watershed models. J. Hydrol., 158:265–284.
5. Franchini, M., 1996. Use of a genetic algorithm combined with a local search method for the automatic calibration of conceptual rainfall-runoff models. Hydrol. Sci. J., 41 (1):21–39.
6. Franchini, M., and Galeati, G., 1997. Comparing several genetic algorithm schemes for the calibration of conceptual rainfall-runoff models. Hydrol. Sci. J., 42 (3):357–379.
7. Hendrickson, J. D., Sorooshian, S., and Brazil, L., 1988. Comparison of Newton type and direct search algorithms for calibration of conceptual rainfall-runoff models. Wat. Resour. Res., 24 (5):691–700.
8. Holland, J. H., 1975. Adaptation in natural and artificial systems. Ann Arbor, Michigan.:Univ. of Michigan Press.
9. Hooke, R., and Jeeves, T. A., 1961. Direct search solutions of numerical and statistical problems. J. Assoc. Comput. Mac., 8 (2):212–229.
10. Nelder, J. A., and Mead, R., 1965. A simplex method for function minimization. Computer J., 7:308–313.
11. Powell, M. J. D., 1983. “ Variable metric methods for constrained optimization. ”. In Mathematical Programming:The State of the Art. Edited by:Bachem, A., Grotschel, M., and Korte, B., 288–311. Germany.:Springer Verlag.
12. Schittowski, K., 1985. NLQP:A FORTRAN-subroutine solving constrained nonlinear programming problems. Operations Res., 5:485–500.
13. Sorooshian, S., and Arfi, F., 1982. Response surface parameter sensitivity analysis methods for post calibration studies. Wat. Resour. Res., 18 (5):1531–1538.
14. Wang, Q. J., 1991. The genetic algorithm and its application to calibrating conceptual rainfall-runoff models. Wat. Resour. Res., 27 (9):2467–2471.