Articles | Volume 11, issue 2
https://doi.org/10.5194/dwes-11-101-2018
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, Ina Vertommen, and Peter van Thienen

Viewed

Total article views: 5,462 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
4,776 617 69 5,462 84 81
  • HTML: 4,776
  • PDF: 617
  • XML: 69
  • Total: 5,462
  • BibTeX: 84
  • EndNote: 81
Views and downloads (calculated since 16 Aug 2018)
Cumulative views and downloads (calculated since 16 Aug 2018)

Viewed (geographical distribution)

Total article views: 5,462 (including HTML, PDF, and XML) Thereof 4,183 with geography defined and 1,279 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 14 Dec 2024
Download
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.