Stochastic approach versus multiobjective approach for obtaining efficient solutions in stochastic multiobjective programming problems

In this work, we deal with obtaining efficient solutions for stochastic multiobjective programming problems. In general, these solutions are obtained in two stages: in one of them, the stochastic problem is transformed into its equivalent deterministic problem, and in the other one, some of the exis...

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Detalles Bibliográficos
Autores: Caballero Fernández, Rafael, Cerdá Tena, Emilio Jaime, Muñoz Martos, María del Mar, Rey, Lourdes
Tipo de recurso: informe técnico
Fecha de publicación:2002
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/64507
Acceso en línea:https://hdl.handle.net/20.500.14352/64507
Access Level:acceso abierto
Palabra clave:Stochastic Multiobjective Programming
Efficiency
Stochastic Approach
Multiobjective Approach
Econometría (Economía)
5302 Econometría
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spelling Stochastic approach versus multiobjective approach for obtaining efficient solutions in stochastic multiobjective programming problemsCaballero Fernández, RafaelCerdá Tena, Emilio JaimeMuñoz Martos, María del MarRey, LourdesStochastic Multiobjective ProgrammingEfficiencyStochastic ApproachMultiobjective ApproachEconometría (Economía)5302 EconometríaIn this work, we deal with obtaining efficient solutions for stochastic multiobjective programming problems. In general, these solutions are obtained in two stages: in one of them, the stochastic problem is transformed into its equivalent deterministic problem, and in the other one, some of the existing generating techniques in multiobjective programming are applied to obtain efficient solutions, which involves transforming the multiobjective problem into a problem with only one objective function. Our aim is to determine whether the order in which these two transformations are carried out influences, in any way, the efficient solution obtained. Our results show that depending on the type of stochastic criterion followed and the statistical characteristics of the initial problem, the order can have an influence on the final set of efficient solutions obtained for a given problem.Instituto Complutense de Análisis Económico. Universidad Complutense de MadridUniversidad Complutense de Madrid20022002-01-0120022002-01-01technical reporthttp://purl.org/coar/resource_type/c_18ghinfo:eu-repo/semantics/reportapplication/pdfhttps://hdl.handle.net/20.500.14352/64507reponame:Docta Complutenseinstname:Universidad Complutense de Madrid (UCM)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:docta.ucm.es:20.500.14352/645072026-06-02T12:44:21Z
dc.title.none.fl_str_mv Stochastic approach versus multiobjective approach for obtaining efficient solutions in stochastic multiobjective programming problems
title Stochastic approach versus multiobjective approach for obtaining efficient solutions in stochastic multiobjective programming problems
spellingShingle Stochastic approach versus multiobjective approach for obtaining efficient solutions in stochastic multiobjective programming problems
Caballero Fernández, Rafael
Stochastic Multiobjective Programming
Efficiency
Stochastic Approach
Multiobjective Approach
Econometría (Economía)
5302 Econometría
title_short Stochastic approach versus multiobjective approach for obtaining efficient solutions in stochastic multiobjective programming problems
title_full Stochastic approach versus multiobjective approach for obtaining efficient solutions in stochastic multiobjective programming problems
title_fullStr Stochastic approach versus multiobjective approach for obtaining efficient solutions in stochastic multiobjective programming problems
title_full_unstemmed Stochastic approach versus multiobjective approach for obtaining efficient solutions in stochastic multiobjective programming problems
title_sort Stochastic approach versus multiobjective approach for obtaining efficient solutions in stochastic multiobjective programming problems
dc.creator.none.fl_str_mv Caballero Fernández, Rafael
Cerdá Tena, Emilio Jaime
Muñoz Martos, María del Mar
Rey, Lourdes
author Caballero Fernández, Rafael
author_facet Caballero Fernández, Rafael
Cerdá Tena, Emilio Jaime
Muñoz Martos, María del Mar
Rey, Lourdes
author_role author
author2 Cerdá Tena, Emilio Jaime
Muñoz Martos, María del Mar
Rey, Lourdes
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidad Complutense de Madrid
dc.subject.none.fl_str_mv Stochastic Multiobjective Programming
Efficiency
Stochastic Approach
Multiobjective Approach
Econometría (Economía)
5302 Econometría
topic Stochastic Multiobjective Programming
Efficiency
Stochastic Approach
Multiobjective Approach
Econometría (Economía)
5302 Econometría
description In this work, we deal with obtaining efficient solutions for stochastic multiobjective programming problems. In general, these solutions are obtained in two stages: in one of them, the stochastic problem is transformed into its equivalent deterministic problem, and in the other one, some of the existing generating techniques in multiobjective programming are applied to obtain efficient solutions, which involves transforming the multiobjective problem into a problem with only one objective function. Our aim is to determine whether the order in which these two transformations are carried out influences, in any way, the efficient solution obtained. Our results show that depending on the type of stochastic criterion followed and the statistical characteristics of the initial problem, the order can have an influence on the final set of efficient solutions obtained for a given problem.
publishDate 2002
dc.date.none.fl_str_mv 2002
2002-01-01
2002
2002-01-01
dc.type.none.fl_str_mv technical report
http://purl.org/coar/resource_type/c_18gh
dc.type.openaire.fl_str_mv info:eu-repo/semantics/report
format report
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.14352/64507
url https://hdl.handle.net/20.500.14352/64507
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Instituto Complutense de Análisis Económico. Universidad Complutense de Madrid
publisher.none.fl_str_mv Instituto Complutense de Análisis Económico. Universidad Complutense de Madrid
dc.source.none.fl_str_mv reponame:Docta Complutense
instname:Universidad Complutense de Madrid (UCM)
instname_str Universidad Complutense de Madrid (UCM)
reponame_str Docta Complutense
collection Docta Complutense
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.81155

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