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6 . ' ,
1. Ormsbee, L.E. and Wood, D.J. (1986), “Explicit pipe network calibration”, Journal of Water Resources planning and Management, ASCE, 112 (2), pp 166-182.
2. Greco, M. and Del-Giudice, G. (1999), “New approach to water distribution network calibration”, Journal of Hydraulic Engineering, ASCE, 125 (8), pp 849-854.
3. Borzi, A., Gerbino, E., Bovis, S. and Corradini, M. (2005), “Genetic algorithms for water distribution network calibration: A real application”, Proceedings of the 8th International Conference on Computing and Control for the Water Industry, University of Exeter, UK, pp 149-154.
4. Yu, G. and Powell, R.S. (1994), “Optimal design of meter placement in water distribution systems”, International Journal of Systematic Science, 25 (12), pp 2155–2166.
5. Tabesh, M., Jamasb, M. and Moeini, R. (2010), “Calibration of water distribution hydraulic models considering different decision variables and consumption scenarios”, Journal of Hydraulics, Iranian Hydraulic Association, 4 (3), pp 69-78.
6. Tabesh, M., Jamasb, B. and Moeini, R. (2011), “Calibration of water distribution hydraulic models: A comparison between pressure dependent and demand driven analyses”, Urban Water J., 8 (2), pp 93-102.
7. Cheng, W. and He, Zh. (2011), “Calibration of Nodal Demand in Water Distribution Systems”, Journal of Water Resources Planning and Management, 137 (1), pp 31-40.
8. Sanz, G., and Perez, R. (2013), “Demand pattern calibration in water distribution networks”, 12th International Conference on Computing and Control for the Water Industry, CCWI, 2-4 September, Perugia, Italy, pp 1495-1504.
9. Dorigo, M., Maniezzo, V. and Colorni, A. (1996), “The ant system: Optimisation by a colony of cooperating agents”
IEEE Transactions on Systems, Part B: Cybern, 26 (1), pp 29–41.
١٠ . .
.
!.
) 1390 (
& '” ( ) * +, ( -' . ! /01 “ 2 3/1 4 05 6 -76 8 628 .
11. Dini, M. and Tabesh, M. (2015), “A New Method for Simultaneous Calibration of Demand Pattern and Hazen- Williams Coefficients in Water Distribution Systems”, Journal of Water Resources Management, 28, pp 2021–2034.
