Assessing the resilience of optimal solutions in multiobjective problems

Detalhes bibliográficos
Autor(a) principal: Costa, Nuno
Data de Publicação: 2023
Outros Autores: Lourenço, João
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/154382
Resumo: Publisher Copyright: © 2023 The Authors
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spelling Assessing the resilience of optimal solutions in multiobjective problemsDesirabilityGradient normImplementation errorsOptimizationParetoRSMAnalytical ChemistrySoftwareComputer Science ApplicationsProcess Chemistry and TechnologySpectroscopyPublisher Copyright: © 2023 The AuthorsProcesses and products are multidimensional so researchers and practitioners have to solve problems with multiple objectives frequently. These problems have, in general, responses in conflict so they do not have a unique solution. Different approaches have been proposed in the literature to solve these problems, but many of them, including the popular desirability function approach, are not employed with the focus on the generation of Pareto frontiers. In addition, it is important to stress that some Pareto solutions may not yield the expected outcome(s) when implemented in practice. Thus, to avoid wasting resources and time in implementing a theoretical solution which does not produce the expected outcome(s), in this paper is proposed a novel metric to assess the resilience of Pareto solutions. This way, the decision-maker may identify a solution less sensitive to changes in the variables setting when their values are implemented in production process (equipments) or during its operation. Metric usefulness is illustrated using a case study, and results analysis is complemented with plots that facilitate the decision-making process.UNIDEMI - Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e IndustrialRUNCosta, NunoLourenço, João2023-06-24T22:15:27Z2023-08-152023-08-15T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article7application/pdfhttp://hdl.handle.net/10362/154382eng0169-7439PURE: 64499033https://doi.org/10.1016/j.chemolab.2023.104850info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:36:49Zoai:run.unl.pt:10362/154382Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:55:35.893061Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Assessing the resilience of optimal solutions in multiobjective problems
title Assessing the resilience of optimal solutions in multiobjective problems
spellingShingle Assessing the resilience of optimal solutions in multiobjective problems
Costa, Nuno
Desirability
Gradient norm
Implementation errors
Optimization
Pareto
RSM
Analytical Chemistry
Software
Computer Science Applications
Process Chemistry and Technology
Spectroscopy
title_short Assessing the resilience of optimal solutions in multiobjective problems
title_full Assessing the resilience of optimal solutions in multiobjective problems
title_fullStr Assessing the resilience of optimal solutions in multiobjective problems
title_full_unstemmed Assessing the resilience of optimal solutions in multiobjective problems
title_sort Assessing the resilience of optimal solutions in multiobjective problems
author Costa, Nuno
author_facet Costa, Nuno
Lourenço, João
author_role author
author2 Lourenço, João
author2_role author
dc.contributor.none.fl_str_mv UNIDEMI - Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial
RUN
dc.contributor.author.fl_str_mv Costa, Nuno
Lourenço, João
dc.subject.por.fl_str_mv Desirability
Gradient norm
Implementation errors
Optimization
Pareto
RSM
Analytical Chemistry
Software
Computer Science Applications
Process Chemistry and Technology
Spectroscopy
topic Desirability
Gradient norm
Implementation errors
Optimization
Pareto
RSM
Analytical Chemistry
Software
Computer Science Applications
Process Chemistry and Technology
Spectroscopy
description Publisher Copyright: © 2023 The Authors
publishDate 2023
dc.date.none.fl_str_mv 2023-06-24T22:15:27Z
2023-08-15
2023-08-15T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/154382
url http://hdl.handle.net/10362/154382
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0169-7439
PURE: 64499033
https://doi.org/10.1016/j.chemolab.2023.104850
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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