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Dynamic response surface method combined with genetic algorithm to optimize extraction process problem

2021Comunicação em conferência Acesso restrito
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dc.contributor.authorLima, Laíres
dc.contributor.authorPereira, Ana I.
dc.contributor.authorVaz, Clara B.
dc.contributor.authorFerreira, Olga
dc.contributor.authorCarocho, Márcio
dc.contributor.authorBarros, Lillian
dc.date.accessioned2022-04-05T15:14:38Z
dc.date.available2022-04-05T15:14:38Z
dc.date.issued2021
dc.description.abstractThis study aims to find and develop an appropriate optimization approach to reduce the time and labor employed throughout a given chemical process and could be decisive for quality management. In this context, this work presents a comparative study of two optimization approaches using real experimental data from the chemical engineering area, reported in a previous study [4]. The first approach is based on the traditional response surface method and the second approach combines the response surface method with genetic algorithm and data mining. The main objective is to optimize the surface function based on three variables using hybrid genetic algorithms combined with cluster analysis to reduce the number of experiments and to find the closest value to the optimum within the established restrictions. The proposed strategy has proven to be promising since the optimal value was achieved without going through derivability unlike conventional methods, and fewer experiments were required to find the optimal solution in comparison to the previous work using the traditional response surface method.pt_PT
dc.description.sponsorshipThe authors are grateful to FCT for financial support through national funds FCT/MCTES UIDB/00690/2020 to CIMO and UIDB/05757/2020. M. Carocho also thanks FCT through the individual scientific employment program contract (CEECIND/00831/2018).pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationLima, Laires A.; Pereira, Ana I.; Vaz, Clara B.; Ferreira, Olga; Carocho, Márcio; Barros, Lillian (2021). Dynamic response surface method combined with genetic algorithm to optimize extraction process problem. In Pereira, Ana I.; Fernandes, Florbela P.; Coelho, João Paulo; Teixeira, João Paulo; Pacheco, Maria F.; Alves, Paulo; Lopes, Rui Pedro (Eds.) Optimization, learning algorithms and applications: first International Conference, OL2A 2021. Cham: Springer Nature. p. 3-14. ISBN 978-3-030-91884-2pt_PT
dc.identifier.doi10.1007/978-3-030-91885-9_1pt_PT
dc.identifier.isbn978-3-030-91884-2
dc.identifier.urihttp://hdl.handle.net/10198/25362
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringer Naturept_PT
dc.relationCEECIND/00831/2018pt_PT
dc.relationMountain Research Center
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectOptimizationpt_PT
dc.subjectGenetic algorithmpt_PT
dc.subjectCluster analysispt_PT
dc.titleDynamic response surface method combined with genetic algorithm to optimize extraction process problempt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.awardNumberUIDB/00690/2020
oaire.awardNumberUIDB/05757/2020
oaire.awardTitleMountain Research Center
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00690%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT
oaire.citation.conferencePlaceBragançapt_PT
oaire.citation.endPage14pt_PT
oaire.citation.startPage3pt_PT
oaire.citation.titleOptimization, learning algorithms and applications: first International Conference, OL2A 2021pt_PT
oaire.citation.volume1488pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNameLima
person.familyNamePereira
person.familyNameVaz
person.familyNameFerreira
person.familyNameCarocho
person.familyNameBarros
person.givenNameLaíres
person.givenNameAna I.
person.givenNameClara B.
person.givenNameOlga
person.givenNameMárcio
person.givenNameLillian
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person.identifier469085
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person.identifier.orcid0000-0002-8978-4547
person.identifier.orcid0000-0002-9050-5189
person.identifier.ridF-3168-2010
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project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsrestrictedAccesspt_PT
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