Articles | Volume 5, issue 1
Drink. Water Eng. Sci., 5, 31–37, 2012
https://doi.org/10.5194/dwes-5-31-2012

Special issue: CCWI 2011

Drink. Water Eng. Sci., 5, 31–37, 2012
https://doi.org/10.5194/dwes-5-31-2012

  15 Aug 2012

15 Aug 2012

Robust optimization methodologies for water supply systems design

J. Marques et al.

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Cited articles

Aarts, E. and Korst, J.: Simulated Annealing and Boltzmann Machines: A Stochastic Approach to Combinatorial Optimization and Neural Computing, Chichester, England, John Wiley & Sons, 1989.
Babayan, A. V., Savic, D. A., Walters, G. A., and Kapelan, Z. S.: Robust Least-Cost Design of Water Distribution Networks Using Redundancy and Integration-Based Methodologies, J. Water Res. Pl.-ASCE, 133, 67–77, 2007.
Carr, R. D., Greenberg, H. J., Hart, W. E., Konjevod, G., Lauer, E., Lin, H., Morrison, T., and Phillips, C. A.: Robust optimization of contaminant sensor placement for community water systems, Math. Program., 107, 337–356, 2006.
Cunha, M. C. and Sousa, J.: Water Distribution Network Design Optimization: Simulated Annealing Approach, J. Water Res. Pl.-ASCE, 125, 215–221, 1999.
Cunha, M. C. and Sousa, J.: Hydraulic Infrastructures Design Using Simulated Annealing, J. Infrastruct. Syst., 7, 32–39, 2001.
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