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26. Walters, G., Lohbeck, T.: Optimal layout of tree networks using genetic algorithms. Engi-
neering Optimization 22, 27-48 (1993)
27. Walters, G., Smith, D.: Evolutionary design algorithm for optimal layout of tree networks.
Engineering Optimization 24, 261-281 (1995)
28. Afshar, M.H., Marino, M.A.: Application of ant algorithm for layout optimization of tree
networks. Engineering Optimization 38, 353-369 (2006)
29. Wikipedia, Dam (2002) (accessed October 23, 2008),
http://en.wikipedia.org/wiki/Dam
30. Heidari, M., Chow, V.T., Kokotovic, P.V., et al.: Discrete differential dynamic program-
ming approach to water resources systems optimization. Water Resources Research 7,
273-282 (1971)
31. Wardlaw, R., Sharif, M.: Evaluation of genetic algorithms for optimal reservoir system op-
eration. ASCE Journal of Water Resources Planning and Management 125, 25-33 (1999)
32. Teegavarapu, R.S.V., Simonovic, S.P.: Optimal operation of reservoir systems using simu-
lated annealing. Water Resources Management 16, 401-428 (2002)
33. Geem, Z.W.: Optimal scheduling of multiple dam system using harmony search algorithm.
In: Sandoval, F., Prieto, A.G., Cabestany, J., GraƱa, M. (eds.) IWANN 2007. LNCS,
vol. 4507, pp. 316-323. Springer, Heidelberg (2007)
34. Larson, R.E.: State increment dynamic programming. American Elsevier, New York
(1968)
35. Wikipedia, Flood (2002) (accessed October 23,2008),
http://en.wikipedia.org/wiki/Flood
36. McCarthy, G.T.: The unit hydrograph and flood routing. In: Proceedings of Conference of
the North Atlantic Division. U.S. Army Corps of Engineers, New London (1938)
37. Gill, M.A.: Flood routing by the Muskingum method. Journal of Hydrology 36, 353-363
(1978)
38. Tung, Y.K.: River flood routing by nonlinear Muskingum method. ASCE Journal of Hy-
draulic Engineering 111, 1447-1460 (1985)
39. Yoon, J., Padmanabhan, G.: Parameter estimation of linear and nonlinear Muskingum
models. ASCE Journal of Water Resources Planning and Management 119, 600-610
(1993)
40. Mohan, S.: Parameter estimation of nonlinear Muskingum models using genetic algorithm.
ASCE Journal of Hydraulic Engineering 123, 137-142 (1997)
41. Kim, J.H., Geem, Z.W., Kim, E.S.: Parameter estimation of the nonlinear Muskingum
model using harmony search. Journal of the American Water Resources Association 37,
1131-1138 (2001)
42. Das, A.: Parameter estimation for Muskingum models. ASCE Journal of Irrigation and
Drainage Engineering 130, 140-147 (2004)
43. Geem, Z.W.: Parameter estimation for the nonlinear Muskingum model using BFGS tech-
nique. ASCE Journal of Irrigation and Drainage Engineering 132, 474-478 (2006)
44. Lee, K.S., Geem, Z.W.: A new meta-heuristic algorithm for continuous engineering opti-
mization: harmony search theory and practice. Computer Methods in Applied Mechanics
and Engineering 194, 3902-3933 (2005)
45. Fesanghary, M., Mahdavi, M., Minary-Jolandan, M., et al.: Hybridizing harmony search
algorithm with sequential quadratic programming for engineering optimization problems.
Computer Methods in Applied Mechanics and Engineering 197, 3080-3091 (2008)
46. Geem, Z.W., Williams, J.C.: Harmony search and ecological optimization. International
Journal of Energy and Environment 1, 150-154 (2007)
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