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Response surface method combined with data analysis to optimize extraction process problem

2021Comunicação em conferência Acesso aberto
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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.date.accessioned2023-03-01T11:53:42Z
dc.date.available2023-03-01T11:53:42Z
dc.date.issued2021
dc.description.abstractFind and develop an appropriate optimization approach is directly associated with the reduction of the time and labor employed in a given chemical process and could be decisive for quality management. In this context, this work presents an approach to implement the Response Surface Method. This technique combines Response Surface Method with Genetic Algorithm and data mining. The main objective is to develop in MATLAB® a method able to optimize the surface function based on three variables using Hybrid Genetic Algorithms combining with Cluster Analysis to reduce the number of experiments and to find the closest value to the optimum within the established restrictions. The results are in accordance with those reported in a previous study. The proposed method has proven to be a promising alternative strategy 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.sponsorshipThis work has been supported by FCT - Funda¸c~ao para a Ci^encia e Tecnologia within the Project Scope: UIDB/05757/2020.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationLima, L.A.; Pereira, Ana I.; Vaz, Clara B.; Ferreira, Olga; Carocho, M. (2021). Response surface method combined with data analysis to optimize extraction process problem. In 1 st Symposium Applied Science for Young Researchers. Bragançapt_PT
dc.identifier.urihttp://hdl.handle.net/10198/27361
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
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.titleResponse surface method combined with data analysis to optimize extraction process problempt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT
oaire.citation.conferencePlaceBragançapt_PT
oaire.citation.title1 st Symposium Applied Science for Young Researcherspt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameLima
person.familyNamePereira
person.familyNameVaz
person.familyNameFerreira
person.familyNameCarocho
person.givenNameLaíres
person.givenNameAna I.
person.givenNameClara B.
person.givenNameOlga
person.givenNameMárcio
person.identifierR-001-FQC
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person.identifier.ciencia-id5614-005B-5CF1
person.identifier.orcid0000-0002-3094-3582
person.identifier.orcid0000-0003-3803-2043
person.identifier.orcid0000-0001-9862-6068
person.identifier.orcid0000-0001-8414-3479
person.identifier.orcid0000-0002-8978-4547
person.identifier.ridF-3168-2010
person.identifier.ridF-1519-2016
person.identifier.ridM-4567-2013
person.identifier.scopus-author-id15071961600
person.identifier.scopus-author-id56352045500
person.identifier.scopus-author-id57203083219
person.identifier.scopus-author-id52463229800
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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