Solving the multi-period water distribution network design problem with a hybrid simulated anealling
- Autores
- Bermudez, Carlos Alberto; Salto, Carolina; Minetti, Gabriela Fabiana
- Año de publicación
- 2019
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- This work presents an optimization technique based on Simulated Annealing (SA) to solve the Water Distribution Network Design problem, considering multi-period restrictions with time varying demand patterns. The design optimization of this kind of networks is an important issue in modern cities, since a safe, adequate, and accessible supply of potable water is one of the basic necessities of any human being. Given the complexity of this problem, the SA is improved with a local search procedure, yielding a hybrid SA, in order to obtain good quality networks designs. Additionally, four variants of this algorithm based on different cooling schemes are introduced and analyzed. A broad experimentation using different benchmark networks is carried out to test our proposals. Moreover, a comparison with an approach from the literature reveals the goodness to solve this network design problem.
Fil: Bermudez, Carlos Alberto. Universidad Nacional de la Pampa. Facultad de Ingeniería; Argentina
Fil: Salto, Carolina. Universidad Nacional de la Pampa. Facultad de Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Confluencia; Argentina
Fil: Minetti, Gabriela Fabiana. Universidad Nacional de la Pampa. Facultad de Ingeniería; Argentina - Materia
-
METAHEURISTIC
OPTIMIZATION
SIMULATED ANNEALING
WATER DISTRIBUTION NETWORK DESIGN - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/147201
Ver los metadatos del registro completo
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Solving the multi-period water distribution network design problem with a hybrid simulated aneallingBermudez, Carlos AlbertoSalto, CarolinaMinetti, Gabriela FabianaMETAHEURISTICOPTIMIZATIONSIMULATED ANNEALINGWATER DISTRIBUTION NETWORK DESIGNhttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1This work presents an optimization technique based on Simulated Annealing (SA) to solve the Water Distribution Network Design problem, considering multi-period restrictions with time varying demand patterns. The design optimization of this kind of networks is an important issue in modern cities, since a safe, adequate, and accessible supply of potable water is one of the basic necessities of any human being. Given the complexity of this problem, the SA is improved with a local search procedure, yielding a hybrid SA, in order to obtain good quality networks designs. Additionally, four variants of this algorithm based on different cooling schemes are introduced and analyzed. A broad experimentation using different benchmark networks is carried out to test our proposals. Moreover, a comparison with an approach from the literature reveals the goodness to solve this network design problem.Fil: Bermudez, Carlos Alberto. Universidad Nacional de la Pampa. Facultad de Ingeniería; ArgentinaFil: Salto, Carolina. Universidad Nacional de la Pampa. Facultad de Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Confluencia; ArgentinaFil: Minetti, Gabriela Fabiana. Universidad Nacional de la Pampa. Facultad de Ingeniería; ArgentinaSpringer Verlag Berlín2019-05-17info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/147201Bermudez, Carlos Alberto; Salto, Carolina; Minetti, Gabriela Fabiana; Solving the multi-period water distribution network design problem with a hybrid simulated anealling; Springer Verlag Berlín; Communications in Computer and Information Science; 995; 17-5-2019; 3-161865-09291865-0937CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.springerprofessional.de/en/solving-the-multi-period-water-distribution-network-design-probl/16734410info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-030-20787-8_1info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:43:01Zoai:ri.conicet.gov.ar:11336/147201instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:43:02.169CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Solving the multi-period water distribution network design problem with a hybrid simulated anealling |
title |
Solving the multi-period water distribution network design problem with a hybrid simulated anealling |
spellingShingle |
Solving the multi-period water distribution network design problem with a hybrid simulated anealling Bermudez, Carlos Alberto METAHEURISTIC OPTIMIZATION SIMULATED ANNEALING WATER DISTRIBUTION NETWORK DESIGN |
title_short |
Solving the multi-period water distribution network design problem with a hybrid simulated anealling |
title_full |
Solving the multi-period water distribution network design problem with a hybrid simulated anealling |
title_fullStr |
Solving the multi-period water distribution network design problem with a hybrid simulated anealling |
title_full_unstemmed |
Solving the multi-period water distribution network design problem with a hybrid simulated anealling |
title_sort |
Solving the multi-period water distribution network design problem with a hybrid simulated anealling |
dc.creator.none.fl_str_mv |
Bermudez, Carlos Alberto Salto, Carolina Minetti, Gabriela Fabiana |
author |
Bermudez, Carlos Alberto |
author_facet |
Bermudez, Carlos Alberto Salto, Carolina Minetti, Gabriela Fabiana |
author_role |
author |
author2 |
Salto, Carolina Minetti, Gabriela Fabiana |
author2_role |
author author |
dc.subject.none.fl_str_mv |
METAHEURISTIC OPTIMIZATION SIMULATED ANNEALING WATER DISTRIBUTION NETWORK DESIGN |
topic |
METAHEURISTIC OPTIMIZATION SIMULATED ANNEALING WATER DISTRIBUTION NETWORK DESIGN |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.2 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
This work presents an optimization technique based on Simulated Annealing (SA) to solve the Water Distribution Network Design problem, considering multi-period restrictions with time varying demand patterns. The design optimization of this kind of networks is an important issue in modern cities, since a safe, adequate, and accessible supply of potable water is one of the basic necessities of any human being. Given the complexity of this problem, the SA is improved with a local search procedure, yielding a hybrid SA, in order to obtain good quality networks designs. Additionally, four variants of this algorithm based on different cooling schemes are introduced and analyzed. A broad experimentation using different benchmark networks is carried out to test our proposals. Moreover, a comparison with an approach from the literature reveals the goodness to solve this network design problem. Fil: Bermudez, Carlos Alberto. Universidad Nacional de la Pampa. Facultad de Ingeniería; Argentina Fil: Salto, Carolina. Universidad Nacional de la Pampa. Facultad de Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Confluencia; Argentina Fil: Minetti, Gabriela Fabiana. Universidad Nacional de la Pampa. Facultad de Ingeniería; Argentina |
description |
This work presents an optimization technique based on Simulated Annealing (SA) to solve the Water Distribution Network Design problem, considering multi-period restrictions with time varying demand patterns. The design optimization of this kind of networks is an important issue in modern cities, since a safe, adequate, and accessible supply of potable water is one of the basic necessities of any human being. Given the complexity of this problem, the SA is improved with a local search procedure, yielding a hybrid SA, in order to obtain good quality networks designs. Additionally, four variants of this algorithm based on different cooling schemes are introduced and analyzed. A broad experimentation using different benchmark networks is carried out to test our proposals. Moreover, a comparison with an approach from the literature reveals the goodness to solve this network design problem. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-05-17 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/147201 Bermudez, Carlos Alberto; Salto, Carolina; Minetti, Gabriela Fabiana; Solving the multi-period water distribution network design problem with a hybrid simulated anealling; Springer Verlag Berlín; Communications in Computer and Information Science; 995; 17-5-2019; 3-16 1865-0929 1865-0937 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/147201 |
identifier_str_mv |
Bermudez, Carlos Alberto; Salto, Carolina; Minetti, Gabriela Fabiana; Solving the multi-period water distribution network design problem with a hybrid simulated anealling; Springer Verlag Berlín; Communications in Computer and Information Science; 995; 17-5-2019; 3-16 1865-0929 1865-0937 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://www.springerprofessional.de/en/solving-the-multi-period-water-distribution-network-design-probl/16734410 info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-030-20787-8_1 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Springer Verlag Berlín |
publisher.none.fl_str_mv |
Springer Verlag Berlín |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) |
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CONICET Digital (CONICET) |
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Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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1844614464452689920 |
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13.069144 |