Solving multi-objective scheduling problems : An integrated systems approach

Autores
Geiger, Martin Josef
Año de publicación
2006
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
In the past, numerous approaches have been formulated either for approximating Pareto-optimal alternatives or supporting the decision making process with an interactive multi criteria decision aiding methodology. The article on the other hand presents an integrated system for the resolution of problems under multiple objectives, combining both aspects. A method base of metaheuristics is made available for the identification of optimal alternatives of machine scheduling problems, and the selection of a most preferred solution is supported in an interactive decision making procedure. As the system is aimed at end users, a graphical interface allows the easy adaptation of metaheuristic techniques. Contrary to existing software class libraries, the system therefore enables users with little or no knowledge in the mentioned areas to successfully solve scheduling problems and customize and test metaheuristics. After successfully competing in the finals in Ronneby (Sweden), the software has been awarded the European Academic Software Award 2002
IFIP International Conference on Artificial Intelligence in Theory and Practice - Planning and Scheduling
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
multi-objective optimization
multi-objective metaheuristics
decision support system
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/23978
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/23978
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network_name_str SEDICI (UNLP)
spelling Solving multi-objective scheduling problems : An integrated systems approachGeiger, Martin JosefCiencias Informáticasmulti-objective optimizationmulti-objective metaheuristicsdecision support systemIn the past, numerous approaches have been formulated either for approximating Pareto-optimal alternatives or supporting the decision making process with an interactive multi criteria decision aiding methodology. The article on the other hand presents an integrated system for the resolution of problems under multiple objectives, combining both aspects. A method base of metaheuristics is made available for the identification of optimal alternatives of machine scheduling problems, and the selection of a most preferred solution is supported in an interactive decision making procedure. As the system is aimed at end users, a graphical interface allows the easy adaptation of metaheuristic techniques. Contrary to existing software class libraries, the system therefore enables users with little or no knowledge in the mentioned areas to successfully solve scheduling problems and customize and test metaheuristics. After successfully competing in the finals in Ronneby (Sweden), the software has been awarded the European Academic Software Award 2002IFIP International Conference on Artificial Intelligence in Theory and Practice - Planning and SchedulingRed de Universidades con Carreras en Informática (RedUNCI)2006-08info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/23978enginfo:eu-repo/semantics/altIdentifier/isbn/0-387-34654-6info: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:UNLP2025-09-03T10:28:25Zoai:sedici.unlp.edu.ar:10915/23978Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-03 10:28:26.246SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Solving multi-objective scheduling problems : An integrated systems approach
title Solving multi-objective scheduling problems : An integrated systems approach
spellingShingle Solving multi-objective scheduling problems : An integrated systems approach
Geiger, Martin Josef
Ciencias Informáticas
multi-objective optimization
multi-objective metaheuristics
decision support system
title_short Solving multi-objective scheduling problems : An integrated systems approach
title_full Solving multi-objective scheduling problems : An integrated systems approach
title_fullStr Solving multi-objective scheduling problems : An integrated systems approach
title_full_unstemmed Solving multi-objective scheduling problems : An integrated systems approach
title_sort Solving multi-objective scheduling problems : An integrated systems approach
dc.creator.none.fl_str_mv Geiger, Martin Josef
author Geiger, Martin Josef
author_facet Geiger, Martin Josef
author_role author
dc.subject.none.fl_str_mv Ciencias Informáticas
multi-objective optimization
multi-objective metaheuristics
decision support system
topic Ciencias Informáticas
multi-objective optimization
multi-objective metaheuristics
decision support system
dc.description.none.fl_txt_mv In the past, numerous approaches have been formulated either for approximating Pareto-optimal alternatives or supporting the decision making process with an interactive multi criteria decision aiding methodology. The article on the other hand presents an integrated system for the resolution of problems under multiple objectives, combining both aspects. A method base of metaheuristics is made available for the identification of optimal alternatives of machine scheduling problems, and the selection of a most preferred solution is supported in an interactive decision making procedure. As the system is aimed at end users, a graphical interface allows the easy adaptation of metaheuristic techniques. Contrary to existing software class libraries, the system therefore enables users with little or no knowledge in the mentioned areas to successfully solve scheduling problems and customize and test metaheuristics. After successfully competing in the finals in Ronneby (Sweden), the software has been awarded the European Academic Software Award 2002
IFIP International Conference on Artificial Intelligence in Theory and Practice - Planning and Scheduling
Red de Universidades con Carreras en Informática (RedUNCI)
description In the past, numerous approaches have been formulated either for approximating Pareto-optimal alternatives or supporting the decision making process with an interactive multi criteria decision aiding methodology. The article on the other hand presents an integrated system for the resolution of problems under multiple objectives, combining both aspects. A method base of metaheuristics is made available for the identification of optimal alternatives of machine scheduling problems, and the selection of a most preferred solution is supported in an interactive decision making procedure. As the system is aimed at end users, a graphical interface allows the easy adaptation of metaheuristic techniques. Contrary to existing software class libraries, the system therefore enables users with little or no knowledge in the mentioned areas to successfully solve scheduling problems and customize and test metaheuristics. After successfully competing in the finals in Ronneby (Sweden), the software has been awarded the European Academic Software Award 2002
publishDate 2006
dc.date.none.fl_str_mv 2006-08
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/10915/23978
url http://sedici.unlp.edu.ar/handle/10915/23978
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/isbn/0-387-34654-6
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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