Articles | Volume 11, issue 2
Drink. Water Eng. Sci., 11, 101–105, 2018
https://doi.org/10.5194/dwes-11-101-2018
Drink. Water Eng. Sci., 11, 101–105, 2018
https://doi.org/10.5194/dwes-11-101-2018
Technical note
08 Nov 2018
Technical note | 08 Nov 2018

Technical note: Problem-specific variators in a genetic algorithm for the optimization of drinking water networks

Karel van Laarhoven et al.

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Cited articles

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Bieupoude, P., Azoumah, Y., and Neveu, P.: Optimization of drinking water distribution networks: Computer-based methods and constructal design, Comp. Env. Urb. Sys., 36, 434–444, 2012. 
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El-Mihoub, T. A., Hopgood, A. A., Nolle, L., and Battersby, A.: Hybrid Genetic Algorithms: A Review, Eng. Let., 13, 124–137, 2006. 
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Short summary
This paper concerns the extension and tuning of a genetic algorithm used for the automated design of optimal drinking water distribution networks. Different settings and extensions are tested for their effect on the speed and reproducibility with which the algorithm can produce good results. The fastest combinations are reported. Speed and reproducibility are key conditions for drinking water utilities to include the use of optimization algorithms in the regular design process of mains.