A framework for a highly constrained sports scheduling problem

Autores
Nurmi, Kimmo; Goossens, Dries; Bartsch, Thomas; Bonomo, Flavia; Briskorn, Dirk; Duran, Guillermo Alfredo; Kyngäs, Jari; Marenco, Javier; Ribeiro, Celso C.; Spieksma, Frits; Urrutia, Sebastián; Wolf, Rodrigo
Año de publicación
2010
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
This paper introduces a framework for a highly constrained sports scheduling problem which is modeled from the requirements of various professional sports leagues. We define a sports scheduling problem, introduce the necessary terminology and detail the constraints of the problem. A set of artificial and real-world instances derived from the actual problems solved for the professional sports league owners are proposed. We publish the best solutions we have found, and invite the sports scheduling community to find solutions to the unsolved instances. We believe that the instances will help researchers to test the value of their solution methods. The instances are available online.
Fil: Nurmi, Kimmo. Satakunta University of Applied Sciences; Finlandia
Fil: Goossens, Dries. Katholieke Universiteit Leuven; Bélgica
Fil: Bartsch, Thomas. SAP AG; Alemania
Fil: Bonomo, Flavia. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Investigaciones Matemáticas "Luis A. Santaló". Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Matemáticas "Luis A. Santaló"; Argentina
Fil: Briskorn, Dirk. Christian-Albrechts-Universität zu Kiel; Alemania
Fil: Duran, Guillermo Alfredo. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Calculo. - Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Calculo; Argentina
Fil: Kyngäs, Jari. Satakunta University of Applied Sciences; Finlandia
Fil: Marenco, Javier. Universidad Nacional de General Sarmiento; Argentina
Fil: Ribeiro, Celso C.. Universidade Federal Fluminense; Brasil
Fil: Spieksma, Frits. Katholieke Universiteit Leuven; Bélgica
Fil: Urrutia, Sebastián. Federal University of Minas Gerais; Brasil
Fil: Wolf, Rodrigo. University of Chile; Chile
The 2010 IAENG International Conference on Operations Research (ICOR at IMECS)
Hong Kong
International Association of Engineers
Materia
REAL-WORLD SCHEDULING
SPORTS SCHEDULING
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/246302
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/246302
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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling A framework for a highly constrained sports scheduling problemNurmi, KimmoGoossens, DriesBartsch, ThomasBonomo, FlaviaBriskorn, DirkDuran, Guillermo AlfredoKyngäs, JariMarenco, JavierRibeiro, Celso C.Spieksma, FritsUrrutia, SebastiánWolf, RodrigoREAL-WORLD SCHEDULINGSPORTS SCHEDULINGhttps://purl.org/becyt/ford/1.1https://purl.org/becyt/ford/1https://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1This paper introduces a framework for a highly constrained sports scheduling problem which is modeled from the requirements of various professional sports leagues. We define a sports scheduling problem, introduce the necessary terminology and detail the constraints of the problem. A set of artificial and real-world instances derived from the actual problems solved for the professional sports league owners are proposed. We publish the best solutions we have found, and invite the sports scheduling community to find solutions to the unsolved instances. We believe that the instances will help researchers to test the value of their solution methods. The instances are available online.Fil: Nurmi, Kimmo. Satakunta University of Applied Sciences; FinlandiaFil: Goossens, Dries. Katholieke Universiteit Leuven; BélgicaFil: Bartsch, Thomas. SAP AG; AlemaniaFil: Bonomo, Flavia. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Investigaciones Matemáticas "Luis A. Santaló". Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Matemáticas "Luis A. Santaló"; ArgentinaFil: Briskorn, Dirk. Christian-Albrechts-Universität zu Kiel; AlemaniaFil: Duran, Guillermo Alfredo. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Calculo. - Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Calculo; ArgentinaFil: Kyngäs, Jari. Satakunta University of Applied Sciences; FinlandiaFil: Marenco, Javier. Universidad Nacional de General Sarmiento; ArgentinaFil: Ribeiro, Celso C.. Universidade Federal Fluminense; BrasilFil: Spieksma, Frits. Katholieke Universiteit Leuven; BélgicaFil: Urrutia, Sebastián. Federal University of Minas Gerais; BrasilFil: Wolf, Rodrigo. University of Chile; ChileThe 2010 IAENG International Conference on Operations Research (ICOR at IMECS)Hong KongInternational Association of EngineersNewswood Limited2010info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectConferenciaBookhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/246302A framework for a highly constrained sports scheduling problem; The 2010 IAENG International Conference on Operations Research (ICOR at IMECS); Hong Kong; 2010; 1-7978-988-18210-5-82078-09582078-0966CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.iaeng.org/publication/IMECS2010/IMECS2010_pp1991-1997.pdfInternacionalinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:47:45Zoai:ri.conicet.gov.ar:11336/246302instacron: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 10:47:45.466CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv A framework for a highly constrained sports scheduling problem
title A framework for a highly constrained sports scheduling problem
spellingShingle A framework for a highly constrained sports scheduling problem
Nurmi, Kimmo
REAL-WORLD SCHEDULING
SPORTS SCHEDULING
title_short A framework for a highly constrained sports scheduling problem
title_full A framework for a highly constrained sports scheduling problem
title_fullStr A framework for a highly constrained sports scheduling problem
title_full_unstemmed A framework for a highly constrained sports scheduling problem
title_sort A framework for a highly constrained sports scheduling problem
dc.creator.none.fl_str_mv Nurmi, Kimmo
Goossens, Dries
Bartsch, Thomas
Bonomo, Flavia
Briskorn, Dirk
Duran, Guillermo Alfredo
Kyngäs, Jari
Marenco, Javier
Ribeiro, Celso C.
Spieksma, Frits
Urrutia, Sebastián
Wolf, Rodrigo
author Nurmi, Kimmo
author_facet Nurmi, Kimmo
Goossens, Dries
Bartsch, Thomas
Bonomo, Flavia
Briskorn, Dirk
Duran, Guillermo Alfredo
Kyngäs, Jari
Marenco, Javier
Ribeiro, Celso C.
Spieksma, Frits
Urrutia, Sebastián
Wolf, Rodrigo
author_role author
author2 Goossens, Dries
Bartsch, Thomas
Bonomo, Flavia
Briskorn, Dirk
Duran, Guillermo Alfredo
Kyngäs, Jari
Marenco, Javier
Ribeiro, Celso C.
Spieksma, Frits
Urrutia, Sebastián
Wolf, Rodrigo
author2_role author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv REAL-WORLD SCHEDULING
SPORTS SCHEDULING
topic REAL-WORLD SCHEDULING
SPORTS SCHEDULING
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.1
https://purl.org/becyt/ford/1
https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv This paper introduces a framework for a highly constrained sports scheduling problem which is modeled from the requirements of various professional sports leagues. We define a sports scheduling problem, introduce the necessary terminology and detail the constraints of the problem. A set of artificial and real-world instances derived from the actual problems solved for the professional sports league owners are proposed. We publish the best solutions we have found, and invite the sports scheduling community to find solutions to the unsolved instances. We believe that the instances will help researchers to test the value of their solution methods. The instances are available online.
Fil: Nurmi, Kimmo. Satakunta University of Applied Sciences; Finlandia
Fil: Goossens, Dries. Katholieke Universiteit Leuven; Bélgica
Fil: Bartsch, Thomas. SAP AG; Alemania
Fil: Bonomo, Flavia. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Investigaciones Matemáticas "Luis A. Santaló". Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Matemáticas "Luis A. Santaló"; Argentina
Fil: Briskorn, Dirk. Christian-Albrechts-Universität zu Kiel; Alemania
Fil: Duran, Guillermo Alfredo. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Calculo. - Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Calculo; Argentina
Fil: Kyngäs, Jari. Satakunta University of Applied Sciences; Finlandia
Fil: Marenco, Javier. Universidad Nacional de General Sarmiento; Argentina
Fil: Ribeiro, Celso C.. Universidade Federal Fluminense; Brasil
Fil: Spieksma, Frits. Katholieke Universiteit Leuven; Bélgica
Fil: Urrutia, Sebastián. Federal University of Minas Gerais; Brasil
Fil: Wolf, Rodrigo. University of Chile; Chile
The 2010 IAENG International Conference on Operations Research (ICOR at IMECS)
Hong Kong
International Association of Engineers
description This paper introduces a framework for a highly constrained sports scheduling problem which is modeled from the requirements of various professional sports leagues. We define a sports scheduling problem, introduce the necessary terminology and detail the constraints of the problem. A set of artificial and real-world instances derived from the actual problems solved for the professional sports league owners are proposed. We publish the best solutions we have found, and invite the sports scheduling community to find solutions to the unsolved instances. We believe that the instances will help researchers to test the value of their solution methods. The instances are available online.
publishDate 2010
dc.date.none.fl_str_mv 2010
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/conferenceObject
Conferencia
Book
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
status_str publishedVersion
format conferenceObject
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/246302
A framework for a highly constrained sports scheduling problem; The 2010 IAENG International Conference on Operations Research (ICOR at IMECS); Hong Kong; 2010; 1-7
978-988-18210-5-8
2078-0958
2078-0966
CONICET Digital
CONICET
url http://hdl.handle.net/11336/246302
identifier_str_mv A framework for a highly constrained sports scheduling problem; The 2010 IAENG International Conference on Operations Research (ICOR at IMECS); Hong Kong; 2010; 1-7
978-988-18210-5-8
2078-0958
2078-0966
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.iaeng.org/publication/IMECS2010/IMECS2010_pp1991-1997.pdf
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.coverage.none.fl_str_mv Internacional
dc.publisher.none.fl_str_mv Newswood Limited
publisher.none.fl_str_mv Newswood Limited
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str 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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score 13.070432

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