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

van Laarhoven, Karel; Vertommen, Ina; van Thienen, Peter

doi:https://doi.org/10.5194/dwes-11-101-2018

Articles | Volume 11, issue 2

https://doi.org/10.5194/dwes-11-101-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/dwes-11-101-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 11, issue 2

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

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Final revised paper (published on 08 Nov 2018)
Preprint (discussion started on 16 Aug 2018)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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RC1: 'Referee Comment for van Laarhoven technical note', Anonymous Referee #1, 23 Sep 2018
- SC1: 'EA vs GA', Karel van Laarhoven, 28 Sep 2018
- AC2: 'author reaction', Karel van Laarhoven, 11 Oct 2018
RC2: 'DWES-2018-21 - Comments (minor revisions)', Anonymous Referee #2, 01 Oct 2018
- AC1: 'author reaction', Karel van Laarhoven, 11 Oct 2018

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.