Publicação
Multiobjective optimization of polymer extrusion: decision making and robustness
| Resumo: | A Multi-Objective Evolutionary Algorithm (MOEA) is used to optimize polymer single screw extrusion. In this approach, the MOEA is linked to a modelling routine that quantifies the objectives as a function of the decision variables (i.e., operating conditions and/or screw geometry). Due to the conflicting nature of some objectives, the optimization algorithm uses a set of possible solutions to the problem that evolves during suc-cessive generations to a set of optimal solutions denoted as Pareto set. Since practical process optimization should yield a single solution, it is convenient to implement also a Decision Making (DM) strategy. Two methodologies were followed. In one case, the solutions were selected based on the preferences of a decision maker. Alternatively, the sensitivity of the solutions to small changes in the design variables was taken into account through a robustness analysis. The analysis of various case studies and the comparison with experi-mental data validated the method and demonstrates its potential. |
|---|---|
| Autores principais: | Gaspar-Cunha, A. |
| Outros Autores: | Covas, J. A.; Denysiuk, Roman; Recio, Gustavo |
| Assunto: | Optimization Extrusion |
| Ano: | 2016 |
| País: | Portugal |
| Tipo de documento: | comunicação em conferência |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade do Minho |
| Idioma: | inglês |
| Origem: | RepositóriUM - Universidade do Minho |
| _version_ | 1866877303051517952 |
|---|---|
| author | Gaspar-Cunha, A. |
| author2 | Covas, J. A. Denysiuk, Roman Recio, Gustavo |
| author2_role | author author author |
| author_facet | Gaspar-Cunha, A. Covas, J. A. Denysiuk, Roman Recio, Gustavo |
| author_role | author |
| contributor_name_str_mv | Universidade do Minho |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Gaspar-Cunha, A.\"},{\"Person.name\":\"Covas, J. A.\"},{\"Person.name\":\"Denysiuk, Roman\"},{\"Person.name\":\"Recio, Gustavo\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Universidade do Minho |
| datacite.creators.creator.creatorName.fl_str_mv | Gaspar-Cunha, A. Covas, J. A. Denysiuk, Roman Recio, Gustavo |
| datacite.date.Accepted.fl_str_mv | 2016-01-01T00:00:00Z |
| datacite.date.available.fl_str_mv | 2018-03-27T08:37:50Z |
| datacite.date.embargoed.fl_str_mv | 2018-03-27T08:37:50Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Optimization Extrusion |
| datacite.titles.title.fl_str_mv | Multiobjective optimization of polymer extrusion: decision making and robustness |
| dc.contributor.none.fl_str_mv | Universidade do Minho |
| dc.creator.none.fl_str_mv | Gaspar-Cunha, A. Covas, J. A. Denysiuk, Roman Recio, Gustavo |
| dc.date.Accepted.fl_str_mv | 2016-01-01T00:00:00Z |
| dc.date.available.fl_str_mv | 2018-03-27T08:37:50Z |
| dc.date.embargoed.fl_str_mv | 2018-03-27T08:37:50Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | https://hdl.handle.net/1822/53522 |
| dc.language.none.fl_str_mv | eng |
| dc.rights.cclincense.fl_str_mv | http://creativecommons.org/licenses/by/4.0/ |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.rights.rights.copyright.fl_str_mv | openAccess |
| dc.subject.none.fl_str_mv | Optimization Extrusion |
| dc.title.fl_str_mv | Multiobjective optimization of polymer extrusion: decision making and robustness |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_5794 |
| description | A Multi-Objective Evolutionary Algorithm (MOEA) is used to optimize polymer single screw extrusion. In this approach, the MOEA is linked to a modelling routine that quantifies the objectives as a function of the decision variables (i.e., operating conditions and/or screw geometry). Due to the conflicting nature of some objectives, the optimization algorithm uses a set of possible solutions to the problem that evolves during suc-cessive generations to a set of optimal solutions denoted as Pareto set. Since practical process optimization should yield a single solution, it is convenient to implement also a Decision Making (DM) strategy. Two methodologies were followed. In one case, the solutions were selected based on the preferences of a decision maker. Alternatively, the sensitivity of the solutions to small changes in the design variables was taken into account through a robustness analysis. The analysis of various case studies and the comparison with experi-mental data validated the method and demonstrates its potential. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | conferencePaper |
| fulltext.url.fl_str_mv | https://prod-dspace.uminho.pt/bitstreams/df9bf816-7f28-4d38-9ddc-8ff528f97185/download |
| id | rum_7ca4e0c571f04410091c37a9999c8dad |
| identifier.url.fl_str_mv | https://hdl.handle.net/1822/53522 |
| instacron_str | repositorium |
| institution | Universidade do Minho |
| instname_str | Universidade do Minho |
| language | eng |
| network_acronym_str | rum |
| network_name_str | RepositóriUM - Universidade do Minho |
| oai_identifier_str | oai:repositorium.uminho.pt:1822/53522 |
| organization_str_mv | urn:organizationAcronym:repositorium |
| person_str_mv | Gaspar-Cunha, A. Covas, J. A. Denysiuk, Roman Recio, Gustavo |
| publishDate | 2016 |
| reponame_str | RepositóriUM - Universidade do Minho |
| repository_id_str | urn:repositoryAcronym:rum |
| service_str_mv | urn:repositoryAcronym:rum |
| spelling | engporA Multi-Objective Evolutionary Algorithm (MOEA) is used to optimize polymer single screw extrusion. In this approach, the MOEA is linked to a modelling routine that quantifies the objectives as a function of the decision variables (i.e., operating conditions and/or screw geometry). Due to the conflicting nature of some objectives, the optimization algorithm uses a set of possible solutions to the problem that evolves during suc-cessive generations to a set of optimal solutions denoted as Pareto set. Since practical process optimization should yield a single solution, it is convenient to implement also a Decision Making (DM) strategy. Two methodologies were followed. In one case, the solutions were selected based on the preferences of a decision maker. Alternatively, the sensitivity of the solutions to small changes in the design variables was taken into account through a robustness analysis. The analysis of various case studies and the comparison with experi-mental data validated the method and demonstrates its potential.application/pdfporMultiobjective optimization of polymer extrusion: decision making and robustnessGaspar-Cunha, A.Covas, J. A.Denysiuk, RomanRecio, GustavoHostingInstitutionOrganizationalUniversidade do Minhoe-mailmailto:repositorium@usdb.uminho.ptrepositorium@usdb.uminho.pt2018-03-27T08:37:50Z20162016-01-01T00:00:00ZHandlehttps://hdl.handle.net/1822/53522http://purl.org/coar/access_right/c_abf2open accessOptimizationExtrusion562836 bytesother research producthttp://purl.org/coar/resource_type/c_5794conference paper2016http://creativecommons.org/licenses/by/4.0/openAccesshttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://prod-dspace.uminho.pt/bitstreams/df9bf816-7f28-4d38-9ddc-8ff528f97185/download |
| spellingShingle | Multiobjective optimization of polymer extrusion: decision making and robustness Gaspar-Cunha, A. Optimization Extrusion |
| status | SINGLETON |
| subject.fl_str_mv | Optimization Extrusion |
| title | Multiobjective optimization of polymer extrusion: decision making and robustness |
| title_full | Multiobjective optimization of polymer extrusion: decision making and robustness |
| title_fullStr | Multiobjective optimization of polymer extrusion: decision making and robustness |
| title_full_unstemmed | Multiobjective optimization of polymer extrusion: decision making and robustness |
| title_short | Multiobjective optimization of polymer extrusion: decision making and robustness |
| title_sort | Multiobjective optimization of polymer extrusion: decision making and robustness |
| topic | Optimization Extrusion |
| topic_facet | Optimization Extrusion |
| url | https://hdl.handle.net/1822/53522 |
| visible | 1 |