Designing a Multi-Period Water Distribution Network with a Hybrid Simulated Annealing
- Autores
- Bermúdez, Carlos; Salto, Carolina; Minetti, Gabriela F.
- Año de publicación
- 2019
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- The design optimization of water distribution systems, considering multi-period restrictions with time varying demand patterns, is a complex optimization problem present in modern cities. Taking into account this issue, we propose a hybrid optimization technique based on Simulated Annealing (HSA) enhanced with a local search procedure, in order to obtain good quality networks designs. The SA performance is very sensitive to the choice of the cooling scheme, which includes parameters as the cooling function and the initial temperature. For this reason, we have analysed the HSA behaviour using proportional, exponential, logarithmic and a new random cooling functions and three different initial temperatures. An extensive experimentation using different benchmark networks has been carried out to test our proposals. Moreover, a comparison with an approach from the literature has revealed the goodness to solve this network design problem.
Sociedad Argentina de Informática e Investigación Operativa - Materia
-
Ciencias Informáticas
Water Distribution Network Design
Optimization
Simulated Annealing
Cooling Schedule - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/3.0/
- Repositorio
.jpg)
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/87852
Ver los metadatos del registro completo
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Designing a Multi-Period Water Distribution Network with a Hybrid Simulated AnnealingBermúdez, CarlosSalto, CarolinaMinetti, Gabriela F.Ciencias InformáticasWater Distribution Network DesignOptimizationSimulated AnnealingCooling ScheduleThe design optimization of water distribution systems, considering multi-period restrictions with time varying demand patterns, is a complex optimization problem present in modern cities. Taking into account this issue, we propose a hybrid optimization technique based on Simulated Annealing (HSA) enhanced with a local search procedure, in order to obtain good quality networks designs. The SA performance is very sensitive to the choice of the cooling scheme, which includes parameters as the cooling function and the initial temperature. For this reason, we have analysed the HSA behaviour using proportional, exponential, logarithmic and a new random cooling functions and three different initial temperatures. An extensive experimentation using different benchmark networks has been carried out to test our proposals. Moreover, a comparison with an approach from the literature has revealed the goodness to solve this network design problem.Sociedad Argentina de Informática e Investigación Operativa2019-09info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf39-52http://sedici.unlp.edu.ar/handle/10915/87852enginfo:eu-repo/semantics/altIdentifier/issn/2451-7585info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/3.0/Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-12-23T11:19:43Zoai:sedici.unlp.edu.ar:10915/87852Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-12-23 11:19:43.936SEDICI (UNLP) - Universidad Nacional de La Platafalse |
| dc.title.none.fl_str_mv |
Designing a Multi-Period Water Distribution Network with a Hybrid Simulated Annealing |
| title |
Designing a Multi-Period Water Distribution Network with a Hybrid Simulated Annealing |
| spellingShingle |
Designing a Multi-Period Water Distribution Network with a Hybrid Simulated Annealing Bermúdez, Carlos Ciencias Informáticas Water Distribution Network Design Optimization Simulated Annealing Cooling Schedule |
| title_short |
Designing a Multi-Period Water Distribution Network with a Hybrid Simulated Annealing |
| title_full |
Designing a Multi-Period Water Distribution Network with a Hybrid Simulated Annealing |
| title_fullStr |
Designing a Multi-Period Water Distribution Network with a Hybrid Simulated Annealing |
| title_full_unstemmed |
Designing a Multi-Period Water Distribution Network with a Hybrid Simulated Annealing |
| title_sort |
Designing a Multi-Period Water Distribution Network with a Hybrid Simulated Annealing |
| dc.creator.none.fl_str_mv |
Bermúdez, Carlos Salto, Carolina Minetti, Gabriela F. |
| author |
Bermúdez, Carlos |
| author_facet |
Bermúdez, Carlos Salto, Carolina Minetti, Gabriela F. |
| author_role |
author |
| author2 |
Salto, Carolina Minetti, Gabriela F. |
| author2_role |
author author |
| dc.subject.none.fl_str_mv |
Ciencias Informáticas Water Distribution Network Design Optimization Simulated Annealing Cooling Schedule |
| topic |
Ciencias Informáticas Water Distribution Network Design Optimization Simulated Annealing Cooling Schedule |
| dc.description.none.fl_txt_mv |
The design optimization of water distribution systems, considering multi-period restrictions with time varying demand patterns, is a complex optimization problem present in modern cities. Taking into account this issue, we propose a hybrid optimization technique based on Simulated Annealing (HSA) enhanced with a local search procedure, in order to obtain good quality networks designs. The SA performance is very sensitive to the choice of the cooling scheme, which includes parameters as the cooling function and the initial temperature. For this reason, we have analysed the HSA behaviour using proportional, exponential, logarithmic and a new random cooling functions and three different initial temperatures. An extensive experimentation using different benchmark networks has been carried out to test our proposals. Moreover, a comparison with an approach from the literature has revealed the goodness to solve this network design problem. Sociedad Argentina de Informática e Investigación Operativa |
| description |
The design optimization of water distribution systems, considering multi-period restrictions with time varying demand patterns, is a complex optimization problem present in modern cities. Taking into account this issue, we propose a hybrid optimization technique based on Simulated Annealing (HSA) enhanced with a local search procedure, in order to obtain good quality networks designs. The SA performance is very sensitive to the choice of the cooling scheme, which includes parameters as the cooling function and the initial temperature. For this reason, we have analysed the HSA behaviour using proportional, exponential, logarithmic and a new random cooling functions and three different initial temperatures. An extensive experimentation using different benchmark networks has been carried out to test our proposals. Moreover, a comparison with an approach from the literature has revealed the goodness to solve this network design problem. |
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2019 |
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2019-09 |
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