Repair algorithms and penalty functions to handling constraints in an evolutionary scheduling
- Autores
- Villagra, Andrea; Pandolfi, Daniel; Rasjido, José; Montenegro, Cristian; Serón, Natalia; Leguizamón, Mario Guillermo
- Año de publicación
- 2010
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- Ecosystems are directly and negatively affected by many industrial risky activities such as the oil transportation and exploitation. It is therefore important that oil companies carry out a correct maintenance of their oil fields. In this work we implement in our previously proposed evolutionary optimization tool (called PAE) a set of constraint-handling techniques to solve a constrained version of the maintenance problem. The results and comparisons demonstrated that the proposed repair algorithm required less computational effort (evaluations) with the same quality of solutions for the set of instances used.
Presentado en XI Workshop Agentes y Sistemas Inteligentes (WASI)
Red de Universidades con Carreras en Informática (RedUNCI) - Materia
-
Ciencias Informáticas
Ecosistema
Constraints
Algorithms - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/18808
Ver los metadatos del registro completo
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Repair algorithms and penalty functions to handling constraints in an evolutionary schedulingVillagra, AndreaPandolfi, DanielRasjido, JoséMontenegro, CristianSerón, NataliaLeguizamón, Mario GuillermoCiencias InformáticasEcosistemaConstraintsAlgorithmsEcosystems are directly and negatively affected by many industrial risky activities such as the oil transportation and exploitation. It is therefore important that oil companies carry out a correct maintenance of their oil fields. In this work we implement in our previously proposed evolutionary optimization tool (called PAE) a set of constraint-handling techniques to solve a constrained version of the maintenance problem. The results and comparisons demonstrated that the proposed repair algorithm required less computational effort (evaluations) with the same quality of solutions for the set of instances used.Presentado en XI Workshop Agentes y Sistemas Inteligentes (WASI)Red de Universidades con Carreras en Informática (RedUNCI)2010-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf41-51http://sedici.unlp.edu.ar/handle/10915/18808enginfo:eu-repo/semantics/altIdentifier/isbn/978-950-9474-49-9info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T10:53:37Zoai:sedici.unlp.edu.ar:10915/18808Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 10:53:37.613SEDICI (UNLP) - Universidad Nacional de La Platafalse |
dc.title.none.fl_str_mv |
Repair algorithms and penalty functions to handling constraints in an evolutionary scheduling |
title |
Repair algorithms and penalty functions to handling constraints in an evolutionary scheduling |
spellingShingle |
Repair algorithms and penalty functions to handling constraints in an evolutionary scheduling Villagra, Andrea Ciencias Informáticas Ecosistema Constraints Algorithms |
title_short |
Repair algorithms and penalty functions to handling constraints in an evolutionary scheduling |
title_full |
Repair algorithms and penalty functions to handling constraints in an evolutionary scheduling |
title_fullStr |
Repair algorithms and penalty functions to handling constraints in an evolutionary scheduling |
title_full_unstemmed |
Repair algorithms and penalty functions to handling constraints in an evolutionary scheduling |
title_sort |
Repair algorithms and penalty functions to handling constraints in an evolutionary scheduling |
dc.creator.none.fl_str_mv |
Villagra, Andrea Pandolfi, Daniel Rasjido, José Montenegro, Cristian Serón, Natalia Leguizamón, Mario Guillermo |
author |
Villagra, Andrea |
author_facet |
Villagra, Andrea Pandolfi, Daniel Rasjido, José Montenegro, Cristian Serón, Natalia Leguizamón, Mario Guillermo |
author_role |
author |
author2 |
Pandolfi, Daniel Rasjido, José Montenegro, Cristian Serón, Natalia Leguizamón, Mario Guillermo |
author2_role |
author author author author author |
dc.subject.none.fl_str_mv |
Ciencias Informáticas Ecosistema Constraints Algorithms |
topic |
Ciencias Informáticas Ecosistema Constraints Algorithms |
dc.description.none.fl_txt_mv |
Ecosystems are directly and negatively affected by many industrial risky activities such as the oil transportation and exploitation. It is therefore important that oil companies carry out a correct maintenance of their oil fields. In this work we implement in our previously proposed evolutionary optimization tool (called PAE) a set of constraint-handling techniques to solve a constrained version of the maintenance problem. The results and comparisons demonstrated that the proposed repair algorithm required less computational effort (evaluations) with the same quality of solutions for the set of instances used. Presentado en XI Workshop Agentes y Sistemas Inteligentes (WASI) Red de Universidades con Carreras en Informática (RedUNCI) |
description |
Ecosystems are directly and negatively affected by many industrial risky activities such as the oil transportation and exploitation. It is therefore important that oil companies carry out a correct maintenance of their oil fields. In this work we implement in our previously proposed evolutionary optimization tool (called PAE) a set of constraint-handling techniques to solve a constrained version of the maintenance problem. The results and comparisons demonstrated that the proposed repair algorithm required less computational effort (evaluations) with the same quality of solutions for the set of instances used. |
publishDate |
2010 |
dc.date.none.fl_str_mv |
2010-10 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion Objeto de conferencia http://purl.org/coar/resource_type/c_5794 info:ar-repo/semantics/documentoDeConferencia |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://sedici.unlp.edu.ar/handle/10915/18808 |
url |
http://sedici.unlp.edu.ar/handle/10915/18808 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/isbn/978-950-9474-49-9 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/2.5/ar/ Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) |
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openAccess |
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http://creativecommons.org/licenses/by-nc-sa/2.5/ar/ Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) |
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application/pdf 41-51 |
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