Sampling Design for Water Distribution System Models by Genetic Algorithms

1027 Ogledov
696 Prenosov
Izvoz citacije: ABNT
BANOVEC, Primož ;KOZELJ, Daniel ;ŠANTL, Sašo ;STEINMAN, Franci .
Sampling Design for Water Distribution System Models by Genetic Algorithms. 
Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 52, n.12, p. 817-834, august 2017. 
ISSN 0039-2480.
Available at: <https://www.sv-jme.eu/sl/article/sampling-design-for-water-distribution-system-models-by-genetic-algorithms/>. Date accessed: 22 sep. 2021. 
doi:http://dx.doi.org/.
Banovec, P., Kozelj, D., Šantl, S., & Steinman, F.
(2006).
Sampling Design for Water Distribution System Models by Genetic Algorithms.
Strojniški vestnik - Journal of Mechanical Engineering, 52(12), 817-834.
doi:http://dx.doi.org/
@article{.,
	author = {Primož  Banovec and Daniel  Kozelj and Sašo  Šantl and Franci  Steinman},
	title = {Sampling Design for Water Distribution System Models by Genetic Algorithms},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {52},
	number = {12},
	year = {2006},
	keywords = {hydraulic; water distribution systems; modelling; optimisation; measurement locations; genetic algorithms; },
	abstract = {In this paper we discuss sampling design for the calibration of water distribution system hydraulic models. The sampling design for the calibration of water distribution-system models is formulated as an optimisation problem consisting of two normalised objective functions. The first objective function is used to increase the calibration accuracy of the model parameters, and the second one is used to reduce the number of necessary measurement locations. The optimisation problem was solved by using genetic algorithms. The verification and application of the developed optimisation model (called IMMe) were carried out on the artificial water distribution system of Anytown, which serves as a reference model for testing various researches in hydraulic modelling. The verified IMMe model was applied to a real water-distribution system in the town of Sežana. For both water distribution models, the use of genetic algorithms proved very efficient with extremely combinatorial optimisation problems. The developed calibration and sampling design allow very accurate hydraulic modelling of the water distribution systems, which is of key importance for ensuring the economy and efficiency of drinking-water supplies in the future.},
	issn = {0039-2480},	pages = {817-834},	doi = {},
	url = {https://www.sv-jme.eu/sl/article/sampling-design-for-water-distribution-system-models-by-genetic-algorithms/}
}
Banovec, P.,Kozelj, D.,Šantl, S.,Steinman, F.
2006 August 52. Sampling Design for Water Distribution System Models by Genetic Algorithms. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 52:12
%A Banovec, Primož 
%A Kozelj, Daniel 
%A Šantl, Sašo 
%A Steinman, Franci 
%D 2006
%T Sampling Design for Water Distribution System Models by Genetic Algorithms
%B 2006
%9 hydraulic; water distribution systems; modelling; optimisation; measurement locations; genetic algorithms; 
%! Sampling Design for Water Distribution System Models by Genetic Algorithms
%K hydraulic; water distribution systems; modelling; optimisation; measurement locations; genetic algorithms; 
%X In this paper we discuss sampling design for the calibration of water distribution system hydraulic models. The sampling design for the calibration of water distribution-system models is formulated as an optimisation problem consisting of two normalised objective functions. The first objective function is used to increase the calibration accuracy of the model parameters, and the second one is used to reduce the number of necessary measurement locations. The optimisation problem was solved by using genetic algorithms. The verification and application of the developed optimisation model (called IMMe) were carried out on the artificial water distribution system of Anytown, which serves as a reference model for testing various researches in hydraulic modelling. The verified IMMe model was applied to a real water-distribution system in the town of Sežana. For both water distribution models, the use of genetic algorithms proved very efficient with extremely combinatorial optimisation problems. The developed calibration and sampling design allow very accurate hydraulic modelling of the water distribution systems, which is of key importance for ensuring the economy and efficiency of drinking-water supplies in the future.
%U https://www.sv-jme.eu/sl/article/sampling-design-for-water-distribution-system-models-by-genetic-algorithms/
%0 Journal Article
%R 
%& 817
%P 18
%J Strojniški vestnik - Journal of Mechanical Engineering
%V 52
%N 12
%@ 0039-2480
%8 2017-08-18
%7 2017-08-18
Banovec, Primož, Daniel  Kozelj, Sašo  Šantl, & Franci  Steinman.
"Sampling Design for Water Distribution System Models by Genetic Algorithms." Strojniški vestnik - Journal of Mechanical Engineering [Online], 52.12 (2006): 817-834. Web.  22 Sep. 2021
TY  - JOUR
AU  - Banovec, Primož 
AU  - Kozelj, Daniel 
AU  - Šantl, Sašo 
AU  - Steinman, Franci 
PY  - 2006
TI  - Sampling Design for Water Distribution System Models by Genetic Algorithms
JF  - Strojniški vestnik - Journal of Mechanical Engineering
DO  - 
KW  - hydraulic; water distribution systems; modelling; optimisation; measurement locations; genetic algorithms; 
N2  - In this paper we discuss sampling design for the calibration of water distribution system hydraulic models. The sampling design for the calibration of water distribution-system models is formulated as an optimisation problem consisting of two normalised objective functions. The first objective function is used to increase the calibration accuracy of the model parameters, and the second one is used to reduce the number of necessary measurement locations. The optimisation problem was solved by using genetic algorithms. The verification and application of the developed optimisation model (called IMMe) were carried out on the artificial water distribution system of Anytown, which serves as a reference model for testing various researches in hydraulic modelling. The verified IMMe model was applied to a real water-distribution system in the town of Sežana. For both water distribution models, the use of genetic algorithms proved very efficient with extremely combinatorial optimisation problems. The developed calibration and sampling design allow very accurate hydraulic modelling of the water distribution systems, which is of key importance for ensuring the economy and efficiency of drinking-water supplies in the future.
UR  - https://www.sv-jme.eu/sl/article/sampling-design-for-water-distribution-system-models-by-genetic-algorithms/
@article{{}{.},
	author = {Banovec, P., Kozelj, D., Šantl, S., Steinman, F.},
	title = {Sampling Design for Water Distribution System Models by Genetic Algorithms},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {52},
	number = {12},
	year = {2006},
	doi = {},
	url = {https://www.sv-jme.eu/sl/article/sampling-design-for-water-distribution-system-models-by-genetic-algorithms/}
}
TY  - JOUR
AU  - Banovec, Primož 
AU  - Kozelj, Daniel 
AU  - Šantl, Sašo 
AU  - Steinman, Franci 
PY  - 2017/08/18
TI  - Sampling Design for Water Distribution System Models by Genetic Algorithms
JF  - Strojniški vestnik - Journal of Mechanical Engineering; Vol 52, No 12 (2006): Strojniški vestnik - Journal of Mechanical Engineering
DO  - 
KW  - hydraulic, water distribution systems, modelling, optimisation, measurement locations, genetic algorithms, 
N2  - In this paper we discuss sampling design for the calibration of water distribution system hydraulic models. The sampling design for the calibration of water distribution-system models is formulated as an optimisation problem consisting of two normalised objective functions. The first objective function is used to increase the calibration accuracy of the model parameters, and the second one is used to reduce the number of necessary measurement locations. The optimisation problem was solved by using genetic algorithms. The verification and application of the developed optimisation model (called IMMe) were carried out on the artificial water distribution system of Anytown, which serves as a reference model for testing various researches in hydraulic modelling. The verified IMMe model was applied to a real water-distribution system in the town of Sežana. For both water distribution models, the use of genetic algorithms proved very efficient with extremely combinatorial optimisation problems. The developed calibration and sampling design allow very accurate hydraulic modelling of the water distribution systems, which is of key importance for ensuring the economy and efficiency of drinking-water supplies in the future.
UR  - https://www.sv-jme.eu/sl/article/sampling-design-for-water-distribution-system-models-by-genetic-algorithms/
Banovec, Primož, Kozelj, Daniel, Šantl, Sašo, AND Steinman, Franci.
"Sampling Design for Water Distribution System Models by Genetic Algorithms" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 52 Number 12 (18 August 2017)

Avtorji

Inštitucije

  • University of Ljubljana, Faculty of Civil and Geodetic Engineering, Slovenia
  • University of Ljubljana, Faculty of Civil and Geodetic Engineering, Slovenia
  • University of Ljubljana, Faculty of Civil and Geodetic Engineering, Slovenia
  • University of Ljubljana, Faculty of Civil and Geodetic Engineering, Slovenia

Informacije o papirju

Strojniški vestnik - Journal of Mechanical Engineering 52(2006)12, 817-834

In this paper we discuss sampling design for the calibration of water distribution system hydraulic models. The sampling design for the calibration of water distribution-system models is formulated as an optimisation problem consisting of two normalised objective functions. The first objective function is used to increase the calibration accuracy of the model parameters, and the second one is used to reduce the number of necessary measurement locations. The optimisation problem was solved by using genetic algorithms. The verification and application of the developed optimisation model (called IMMe) were carried out on the artificial water distribution system of Anytown, which serves as a reference model for testing various researches in hydraulic modelling. The verified IMMe model was applied to a real water-distribution system in the town of Sežana. For both water distribution models, the use of genetic algorithms proved very efficient with extremely combinatorial optimisation problems. The developed calibration and sampling design allow very accurate hydraulic modelling of the water distribution systems, which is of key importance for ensuring the economy and efficiency of drinking-water supplies in the future.

hydraulic; water distribution systems; modelling; optimisation; measurement locations; genetic algorithms;