STEINMAN, Franci ;BANOVEC, Primož ;ŠANTL, Sašo . Genetic-Algorithms-Supported Planning of Water-Supply Systems. Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 47, n.6, p. 263-279, july 2017. ISSN 0039-2480. Available at: <https://www.sv-jme.eu/sl/article/genetic-algorithms-supported-planning-of-water-supply-systems/>. Date accessed: 20 dec. 2024. doi:http://dx.doi.org/.
Steinman, F., Banovec, P., & Šantl, S. (2001). Genetic-Algorithms-Supported Planning of Water-Supply Systems. Strojniški vestnik - Journal of Mechanical Engineering, 47(6), 263-279. doi:http://dx.doi.org/
@article{.,
author = {Franci Steinman and Primož Banovec and Sašo Šantl},
title = {Genetic-Algorithms-Supported Planning of Water-Supply Systems},
journal = {Strojniški vestnik - Journal of Mechanical Engineering},
volume = {47},
number = {6},
year = {2001},
keywords = {water supply systems; genetic algorithms; systems optimization; hydraulic modelling; },
abstract = {The present-day water-supply services use advanced technologies in order to provide their customers with constantly improving services. This involves the adoption of a pro-active approach to the operational management of distribution networks as a means of improving customer satisfaction. As a result, an analysis of the necessary changes in the network management and the operations, and their effects on customers, along with the reduction of operating costs and investments, was performed with an optimisation tool called genetic algorithms. This paper presents work performed on a small, but complex, water-supply system. The work comprised building a model, model calibration, and an analysis of the development perspectives to ensure the long-term coverage of customer needs, while taking into account the limited resources available. During the work some tools were developed, based predominantly on the EPANET software, which uses genetics algorithms as an optimisation procedure. This enabled an advanced analysis of the existing performance of the water-supply system as well as an analysis of the different development options. The objective is to support the decision-making process where, despite limited financial funds, specified pressure requirements and water demands could be met throughout the network. With the results of the analysis, a better understanding of the existing system behaviour, a more efficient management, as well as a clearer view on the development needs can be achieved.},
issn = {0039-2480}, pages = {263-279}, doi = {},
url = {https://www.sv-jme.eu/sl/article/genetic-algorithms-supported-planning-of-water-supply-systems/}
}
Steinman, F.,Banovec, P.,Šantl, S. 2001 July 47. Genetic-Algorithms-Supported Planning of Water-Supply Systems. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 47:6
%A Steinman, Franci %A Banovec, Primož %A Šantl, Sašo %D 2001 %T Genetic-Algorithms-Supported Planning of Water-Supply Systems %B 2001 %9 water supply systems; genetic algorithms; systems optimization; hydraulic modelling; %! Genetic-Algorithms-Supported Planning of Water-Supply Systems %K water supply systems; genetic algorithms; systems optimization; hydraulic modelling; %X The present-day water-supply services use advanced technologies in order to provide their customers with constantly improving services. This involves the adoption of a pro-active approach to the operational management of distribution networks as a means of improving customer satisfaction. As a result, an analysis of the necessary changes in the network management and the operations, and their effects on customers, along with the reduction of operating costs and investments, was performed with an optimisation tool called genetic algorithms. This paper presents work performed on a small, but complex, water-supply system. The work comprised building a model, model calibration, and an analysis of the development perspectives to ensure the long-term coverage of customer needs, while taking into account the limited resources available. During the work some tools were developed, based predominantly on the EPANET software, which uses genetics algorithms as an optimisation procedure. This enabled an advanced analysis of the existing performance of the water-supply system as well as an analysis of the different development options. The objective is to support the decision-making process where, despite limited financial funds, specified pressure requirements and water demands could be met throughout the network. With the results of the analysis, a better understanding of the existing system behaviour, a more efficient management, as well as a clearer view on the development needs can be achieved. %U https://www.sv-jme.eu/sl/article/genetic-algorithms-supported-planning-of-water-supply-systems/ %0 Journal Article %R %& 263 %P 17 %J Strojniški vestnik - Journal of Mechanical Engineering %V 47 %N 6 %@ 0039-2480 %8 2017-07-07 %7 2017-07-07
Steinman, Franci, Primož Banovec, & Sašo Šantl. "Genetic-Algorithms-Supported Planning of Water-Supply Systems." Strojniški vestnik - Journal of Mechanical Engineering [Online], 47.6 (2001): 263-279. Web. 20 Dec. 2024
TY - JOUR AU - Steinman, Franci AU - Banovec, Primož AU - Šantl, Sašo PY - 2001 TI - Genetic-Algorithms-Supported Planning of Water-Supply Systems JF - Strojniški vestnik - Journal of Mechanical Engineering DO - KW - water supply systems; genetic algorithms; systems optimization; hydraulic modelling; N2 - The present-day water-supply services use advanced technologies in order to provide their customers with constantly improving services. This involves the adoption of a pro-active approach to the operational management of distribution networks as a means of improving customer satisfaction. As a result, an analysis of the necessary changes in the network management and the operations, and their effects on customers, along with the reduction of operating costs and investments, was performed with an optimisation tool called genetic algorithms. This paper presents work performed on a small, but complex, water-supply system. The work comprised building a model, model calibration, and an analysis of the development perspectives to ensure the long-term coverage of customer needs, while taking into account the limited resources available. During the work some tools were developed, based predominantly on the EPANET software, which uses genetics algorithms as an optimisation procedure. This enabled an advanced analysis of the existing performance of the water-supply system as well as an analysis of the different development options. The objective is to support the decision-making process where, despite limited financial funds, specified pressure requirements and water demands could be met throughout the network. With the results of the analysis, a better understanding of the existing system behaviour, a more efficient management, as well as a clearer view on the development needs can be achieved. UR - https://www.sv-jme.eu/sl/article/genetic-algorithms-supported-planning-of-water-supply-systems/
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volume = {47},
number = {6},
year = {2001},
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TY - JOUR AU - Steinman, Franci AU - Banovec, Primož AU - Šantl, Sašo PY - 2017/07/07 TI - Genetic-Algorithms-Supported Planning of Water-Supply Systems JF - Strojniški vestnik - Journal of Mechanical Engineering; Vol 47, No 6 (2001): Strojniški vestnik - Journal of Mechanical Engineering DO - KW - water supply systems, genetic algorithms, systems optimization, hydraulic modelling, N2 - The present-day water-supply services use advanced technologies in order to provide their customers with constantly improving services. This involves the adoption of a pro-active approach to the operational management of distribution networks as a means of improving customer satisfaction. As a result, an analysis of the necessary changes in the network management and the operations, and their effects on customers, along with the reduction of operating costs and investments, was performed with an optimisation tool called genetic algorithms. This paper presents work performed on a small, but complex, water-supply system. The work comprised building a model, model calibration, and an analysis of the development perspectives to ensure the long-term coverage of customer needs, while taking into account the limited resources available. During the work some tools were developed, based predominantly on the EPANET software, which uses genetics algorithms as an optimisation procedure. This enabled an advanced analysis of the existing performance of the water-supply system as well as an analysis of the different development options. The objective is to support the decision-making process where, despite limited financial funds, specified pressure requirements and water demands could be met throughout the network. With the results of the analysis, a better understanding of the existing system behaviour, a more efficient management, as well as a clearer view on the development needs can be achieved. UR - https://www.sv-jme.eu/sl/article/genetic-algorithms-supported-planning-of-water-supply-systems/
Steinman, Franci, Banovec, Primož, AND Šantl, Sašo. "Genetic-Algorithms-Supported Planning of Water-Supply Systems" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 47 Number 6 (07 July 2017)
Strojniški vestnik - Journal of Mechanical Engineering 47(2001)6, 263-279
© The Authors, CC-BY 4.0 Int. Change in copyright policy from 2022, Jan 1st.
The present-day water-supply services use advanced technologies in order to provide their customers with constantly improving services. This involves the adoption of a pro-active approach to the operational management of distribution networks as a means of improving customer satisfaction. As a result, an analysis of the necessary changes in the network management and the operations, and their effects on customers, along with the reduction of operating costs and investments, was performed with an optimisation tool called genetic algorithms. This paper presents work performed on a small, but complex, water-supply system. The work comprised building a model, model calibration, and an analysis of the development perspectives to ensure the long-term coverage of customer needs, while taking into account the limited resources available. During the work some tools were developed, based predominantly on the EPANET software, which uses genetics algorithms as an optimisation procedure. This enabled an advanced analysis of the existing performance of the water-supply system as well as an analysis of the different development options. The objective is to support the decision-making process where, despite limited financial funds, specified pressure requirements and water demands could be met throughout the network. With the results of the analysis, a better understanding of the existing system behaviour, a more efficient management, as well as a clearer view on the development needs can be achieved.