Using multiobjective optimization algorithms and decision making support to solve polymer extrusion problems

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dc.contributor.author Denysiuk, Roman
dc.contributor.author Recio, Gustavo
dc.contributor.author Covas, José Antonio
dc.contributor.author Gaspar Cunha, Antonio
dc.date.accessioned 2020-09-30T07:12:46Z
dc.date.available 2020-09-30T07:12:46Z
dc.date.issued 2018-04-01
dc.identifier.bibliographicCitation Denysiuk, R., Recio, G., Covas, J.A. and Gaspar‐Cunha, A. (2018), Using multiobjective optimization algorithms and decision making support to solve polymer extrusion problems. Polym Eng Sci, 58: 493-502.
dc.identifier.issn 0032-3888
dc.identifier.uri http://hdl.handle.net/10016/30900
dc.description.abstract Single screw extrusion is a major polymer processing operation. Its optimization is crucial for producing good quality products at suitable costs. This study addresses extrusion as a multiobjective optimization problem that can be solved using evolutionary algorithms incorporating decision making and robustness strategies for selecting solutions. This approach enables focusing the search for solutions in favored regions where the preference was defined either by the relative importance of the objectives or determined considering the robustness of solutions against perturbations in the design variables. The outcome of this strategy provides not only a better insight into the problem at hand, but also facilitates the choice of a single solution for practical implementation. The usefulness of the approach is illustrated by several case studies involving the definition of the most adequate operating conditions, of the best screw geometry and the two together.
dc.description.sponsorship Contract grant sponsor: The Portuguese Fundação para a Ciência e Tecnologia under grant PEst‐C/CTM/LA0025/2013; contract grant number: Projecto Estratégico ‐ LA 25 ‐ 2013‐2014 ‐ Strategic Project ‐ LA 25 ‐ 2013‐2014; contract grant sponsor: project Matepro – “Optimizing Materials and Processes”; contract grant number: ref. supported by the ON.2 program, Portugal); Contract grant sponsor: The European Comission under project SEACW: Social Ecosystem for anti‐aging, capacitation and wellbeing.
dc.language.iso eng
dc.publisher Wiley
dc.rights © 2017 Society of Plastics Engineers
dc.rights Atribución-NoComercial 3.0 España
dc.rights.uri http://creativecommons.org/licenses/by-nc/3.0/es/
dc.subject.other Robustness
dc.subject.other Environments
dc.subject.other Extruder
dc.subject.other Evolutionary algorithms
dc.title Using multiobjective optimization algorithms and decision making support to solve polymer extrusion problems
dc.type article
dc.subject.eciencia Informática
dc.identifier.doi https://doi.org/10.1002/pen.24732
dc.rights.accessRights openAccess
dc.relation.projectID info:eu-repo/grantAgreement/325146/SEACW
dc.type.version acceptedVersion
dc.identifier.publicationfirstpage 493
dc.identifier.publicationlastpage 502
dc.identifier.publicationtitle POLYMER ENGINEERING AND SCIENCE
dc.identifier.publicationvolume 58
dc.identifier.uxxi AR/0000021385
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