Meta-Heuristic Algorithms for Hydrologic Frequency Analysis

Water Resources Management

Volumn 25, Issue 7, 2011, Pages 1855-1879

  Hassanzadeh, Yousef ^a   Abdi, Amin ^a   Talatahari, Siamak ^a   Singh, Vijay P ^b  

^a UNIVERSITY OF TABRIZ   (Iran)

^b Texas A M University   (United States)

Author keywords

Conventional methods; Hydrologic frequency analysis; Meta heuristic algorithms; Monte Carlo simulation; Parameter estimation

Indexed keywords

ANNUAL MAXIMA; ANT-COLONY OPTIMIZATION; CONVENTIONAL METHODS; ENGINEERING OPTIMIZATION PROBLEMS; ESTIMATING PARAMETERS; FLOOD FREQUENCY DISTRIBUTIONS; HYDROLOGIC FREQUENCY ANALYSIS; META HEURISTIC ALGORITHM; META-HEURISTIC ALGORITHMS; MONTE CARLO SIMULATION; PROBABILITY WEIGHTED MOMENTS; SAMPLE SIZES;

ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; ESTIMATION; FREQUENCY ESTIMATION; GENETIC ALGORITHMS; HEURISTIC METHODS; MAXIMUM LIKELIHOOD ESTIMATION; MONTE CARLO METHODS; OPTIMIZATION; PARAMETER ESTIMATION; PROBABILITY DISTRIBUTIONS;

HEURISTIC ALGORITHMS;

COMPUTER SIMULATION; ESTIMATION METHOD; FREQUENCY ANALYSIS; GENETIC ALGORITHM; HYDROLOGICAL MODELING; MONTE CARLO ANALYSIS; OPTIMIZATION; RIVER DISCHARGE;

IRAN;

EID: 79955033067     PISSN: 09204741     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11269-011-9778-1     Document Type: Article

References (43)

1. Abbaspour KC, Schulin R, van Genuchten MTh (2001) Estimating unsaturated soil hydraulic parameters using ant colony optimization. Adv Water Res 24: 827-841.
2. Ashkar F, Tatsambon CN (2007) Revisiting some estimation methods for the generalized Pareto distribution. J Hydrol 346: 136-143.
3. Chow VT, Maidment DR, Mays LW (1988) Applied hydrology. McGraw-Hill, New York.
4. Dong SH (2008) Genetic algorithm based parameter estimation of Nash model. Water Resour Manage 22: 525-533.
5. Dorigo M, Stützle T (2004) Ant Colony optimization. MIT Press, Cambridge, Massachusetts.
6. Dorigo M, Maniezzo V, Colorni A (1996) Ant system: optimization by a colony of cooperating agents. IEEE Trans Syst Man Cybern B 26(1): 29-41.
7. Gen M, Cheng RW (2000) Genetic algorithm and engineering optimization. Wiley, New York.
8. Goldberg DE (1989) Genetic algorithms in search, optimization and machine learning. Addison-Wesley, Boston, Massachusetts.
9. Greenwood JA, Landwehr JM, Matalas NC, Wallis JR (1979) Probability weighted moments: definition and relation to parameters of several distributions expressible in inverse form. Water Resour Res 15(5): 1049-1054.
10. Hassanzadeh Y, Abdi A, Abdi A (2008) A comparison of the methods used for the estimation statistical distribution parameters. In: 5th int eng and constr conf (ASCE), Irvine, California, USA, 27-29 Aug, pp 1009-1016.
11. Holland J (1975) Adaptation in natural and artificial systems. University of Michigan Press, Ann Arbor, Michigan.
12. Hosking JRM (1986) The theory of probability weighted moments. IBM Math Res Report, RC 12210. Yorktown Heights, New York.
13. Hosking JRM (1990) L-moments: analysis and estimation of distributions using linear combinations of order statistics. J R Stat Soc Ser B 52: 105-124.
14. Hosking JRM (1994) The four-parameter Kappa distribution. IBM J Res Develop 38(3): 251-258.
15. Hosking JRM, Wallis JR (1993) Some statistics useful in regional frequency analysis. Water Resour Res 29(2): 271-281.
16. Houghton JC (1978) Birth of a parent: the Wakeby distribution for modeling flood flows. Water Resour Res 14(6): 1105-1109.
17. Karahan H, Ceylan H, Ayvaz MT (2007) Predicting rainfall intensity using a genetic algorithm approach. Hydrol Process 21: 470-475.
18. Kaveh A, Talatahari S (2010) An improved ant colony optimization for constrained engineering design problems. Eng Comput 27(1): 155-182.
19. Kaveh A, Farahmand Azar B, Talatahari S (2008) Ant colony optimization for design of space trusses. Int J Space Struct 23(3): 167-181.
20. Kim KD, Heo JH (2002) Comparative study of flood quantiles estimation by nonparametric models. J Hydrol 260: 176-193.
21. Kite GV (1977) Frequency and risk analysis in hydrology. Water Resour Publ, Fort Collins, Colorado.
22. Kumar DN, Reddy MJ (2006) Ant colony optimization for multi-purpose reservoir operation. Water Resour Manage 20: 879-898.
23. Landwehr JM, Matalas NC, Wallis JR (1979) Estimation of parameters and quantiles of Wakeby distributions. Water Resour Res 15(6): 1361-1379.
24. Li Y, Chan Hilton AB (2006) Reducing spatial sampling in long-term groundwater monitoring using ant colony optimization. Int J Comput Intell Res 1(1): 19-28.
25. Madadgar S, Afshar A (2009) An improved continuous ant algorithm for optimization of water resources problems. Water Resour Manage 23: 2119-2139.
26. Mahdi S, Ashkar F (2004) Exploring generalized probability weighted moments, generalized moments and maximum likelihood estimation methods in two-parameter Weibull model. J Hydrol 285: 62-75.
27. Maier HR, Simpson AR, Zecchin AC, Foong WK, Phang KY, Seah HY, Tan CL (2003) Ant colony optimization for design of water distribution systems. J Water Resour Plan Manage 129(3): 200-209.
28. Nash JE, Sutcliffe JV (1970) River flow forecasting through conceptual models I: a discussion of principles. J Hydrol 10(3): 282-290.
29. Nourani V, Monadjemi P, Talatahari S, Shahradfar S (2009) Application of ant colony optimization to investigate velocity profile effect on optimal design of open channels. J Hydraul Res 47(5): 656-665.
30. Öztekin T (2005) Comparison of parameter estimation methods for the three parameter generalized Pareto distribution. Turk J Agric For 29(6): 419-428.
31. Parida BP (1999) Modeling of Indian summer monsoon rainfall using a four-parameter Kappa distribution. Int J Climatol 19: 1389-1398.
32. Rai RK, Sarkar S, Singh VP (2009) Evaluation of the adequacy of statistical distribution functions for deriving unit hydrograph. Water Resour Manage 23: 899-929.
33. Rao AR, Hamed KH (2000) Flood frequency analysis. CRC, Boca Raton, Florida.
34. Reca J, Martínez J, Gil C, Baños R (2008) Application of several meta-heuristic techniques to the optimization of real looped water distribution networks. Water Resour Manage 22: 1367-1379.
35. Reddy MJ, Adarsh S (2010) Chance constrained optimal design of composite channels using meta-heuristic techniques. Water Resour Manage 24: 2221-2235.
36. Singh VP, Deng ZQ (2003) Entropy-based parameter estimation for Kappa distribution. J Hydrol Eng 8(2): 81-92.
37. Singh VP, Guo H (1995) Parameter estimation for 2-parameter Pareto distribution by POME. Water Resour Manage 9: 81-93.
38. Sivanandam SN, Deepa SN (2008) Introduction to genetic algorithms. Springer, Berlin.
39. Stedinger JR, Vogel RM, Foufoula-Georgiou E (1993) Frequency analysis of extreme events. Handbook of hydrology. McGraw-Hill, New York.
40. Tao D, Nguyen VTV, Bourque A (2002) On selection of probability distribution for representing extreme precipitation in southern Quebec. In: 30th annual conf of the Canadian society for civil eng, Montreal, Quebec, Canada, 5-8 June, CD ROM.
41. Wang WC, Chau KW, Cheng CT, Qiu L (2009) A comparison of performance of several artificial intelligence methods for forecasting monthly discharge time series. J Hydrol 374: 294-306.
42. Yu FX, Naghavi B (1994) Estimating distribution parameters using optimization techniques. Hydrol Sci J 39(4): 391-403.
43. Zalzala AMS, Fleming PJ (1997) Genetic algorithms in engineering systems. Institution of Electrical Engineers, London.