Gene-expression programming to predict friction factor for Southern Italian rivers

Neural Computing and Applications

Volumn 23, Issue 5, 2013, Pages 1421-1426

  Md Azamathulla, H ^a  

^a RIVER ENGINEERING AND URBAN DRAINAGE RESEARCH CENTRE REDAC   (Malaysia)

Author keywords

Friction factor; GEP; Gravel bed; Rivers; Streams

Indexed keywords

CALABRIA; FRICTION FACTORS; GENE-EXPRESSION PROGRAMMING; GEP; GRAVEL-BED; GRAVEL-BED RIVERS; STREAMS;

GENETIC PROGRAMMING; GRAVEL; RIVERS;

GENE EXPRESSION;

EID: 84884821110     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00521-012-1091-2     Document Type: Article

References (33)

1. Alavi AH, Gandomi AH (2011) A robust data mining approach for formulation of geotechnical engineering systems. Eng Comput 28(3): 242-274.
2. Alavi AH, Ameri M, Gandomi AH, Mirzahosseini MR (2011) Formulation of flow number of asphalt mixes using a hybrid computational method. Constr Build Mater 25(3): 1338-1355.
3. Azamathulla HMd, Ghani AA, Zakaria NA, Guven A (2010) Genetic programming to predict bridge pier scour. ASCE J Hydraul Eng 136(3): 165-169.
4. Bathurst JC, Li R, Simons DB (1981) Resistance equation for large-scale roughness. J Hydraul Div ASCE 107(HY12): 1593-1613.
5. Bray DI (1979) Estimating average velocity in gravel-bed rivers. J Hydraul Div ASCE 105(HY12): 1103-1122.
6. Colosimo C, Vito AC, Veltri M (1988) Friction factor evaluation in gravel-bed rivers. J Hydraul Eng 114(8): 861-876.
7. Ferreira C (2001) Gene expression programming in problem solving. 6th Online world conference on soft computing in industrial applications (invited tutorial).
8. Ferreira C (2001) Gene expression programming: a new adaptive algorithm for solving problems. Complex Syst 13(2): 87-129.
9. Gandomi AH, Alavi AH, Mirzahosseini MR, Moqhadas Nejad F (2011) Nonlinear genetic-based models for prediction of flow number of asphalt mixtures. J Mater Civ Eng ASCE 23(3): 248-263.
10. Gandomi AH, Babanajad SK, Alavi AH, Farnam Y (2012) A novel approach to strength modeling of concrete under triaxial compression. J Mater Civ Eng ASCE. doi: 10. 1061/(ASCE)MT. 1943-5533. 0000494.
11. Gandomi AH, Tabatabaie SM, Moradian MH, Radfar A, Alavi AH (2011) A new prediction model for load capacity of castellated steel beams. J Constr Steel Res 67(7): 1096-1105.
12. GEPSOFT (2006) GeneXproTools. Version 4. 0, http://www. gepsoft. com.
13. Giustolisi O (2004) Using genetic programming to determine Chèzy resistance coefficient in corrugated channels. J Hydroinform 6(3): 157-173.
14. Graf WH, Cao HH, Suszka L (1983) Hydraulics of steep mobile-bed channels. In: Proceedings of 20th congress of the international association for hydraulic research, Moscow, USSR.
15. Griffiths GA (1981) F low resistance in coarse gravel-bed rivers. J Hydraul Div ASCE 107(HY7): 899-916.
16. Guven A, Gunal M (2008) Genetic programming approach for prediction of local scour downstream of hydraulic structures. J Irrig Drain Eng 134(2): 241-249.
17. Guven A, Gunal M (2008) Prediction of scour downstream of grade-control structures using neural networks. J Hydraul Eng 134(11): 1656-1660.
18. Guven A, Aytek A (2009) A new approach for stage-discharge relationship: gene-expression programming. ASCE J Hydrol Eng 14(8): 812-820.
19. Hey RD (1979) Flow resistance in gravel-bed rivers. J Hydraul Div ASCE 105(HY4): 365-379.
20. Jarrett RD (1994) Historic-flood evaluation and research needs in mountainous areas. In: Cotroneo GV, Rumer RR (eds) Hydraulic engineering-proceedings of the symposium sponsored by the American Society of Civil Engineers, Buffalo, NY, 1-5 Aug 1994. American Society of Civil Engineers, New York, pp 875-879.
21. Koza JR (1992) Genetic programming: on the programming of computers by means of natural selection. A Bradford book. MIT Press, Cambridge.
22. Kumar B (2011) Flow resistance in alluvial channel. Water Resour 38(6): 745-754.
23. Kumar B, Rao AR (2010) Metamodeling approach to predict friction factor of alluvial channel. Comput Electron Agric 70(1): 144-150.
24. Kumar B, Bhatla A (2010) Genetic algorithm optimized neural network prediction of the friction factor in a mobile bed channel. J Intell Syst 19(4): 315-335.
25. Limerinos JT (1970) Determination of the Manning coefficient from measured bed roughness in natural channels. Water supply paper 1898-B, USGS, Washington, DC.
26. Marchi E (1961) II moto uniforme delle correnti liquid nei condotti chiusi e aperti. L' Energia Elettrica, Milano, Italy, No. 4-5, 289-301 (Italian).
27. Motamedi A, Afzalimehr H, Singh VP (2010) Estimation of friction factor in open channels. J Hydrol Eng 15(3): 249-254.
28. Peterson DF, Mohanty PK (1960) Flume studies of flow in steep rough channels. J Hydraul Div ASCE 86(HY9): 55-76.
29. Rouse H (1965) Critical analysis of open-channel resistance. J Hydraul Div ASCE 91(HY4): 1-25.
30. Teodorescu L, Sherwood D (2008) High energy physics event selection with gene expression programming. Comput Phys Commun 178(6): 409-419.
31. Yalin MS (1972) Mechanics of sediment transport, 1st edn. Pergamon Press, New York.
32. Yarahamadi MB, Fathi-Moghadam M, Bajestan MS (2010) Effects of land slope and flow depth on retarding flow in gravel-bed lands. World Appl Sci J 8(8): 943-947.
33. Yen BC (2002) Open channel flow resistance. J Hydraul Eng 128(1): 20-39.