Selection of solutions in multi-objective optimization: Decision making and robustness

doi:10.1109/MCDM.2014.7007183

Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/69372

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Campo DC	Valor	Idioma
dc.contributor.author	Gaspar-Cunha, A.	por
dc.contributor.author	Ferreira, J. C.	por
dc.contributor.author	Covas, J. A.	por
dc.contributor.author	Recio, G.	por
dc.date.accessioned	2021-01-18T00:14:36Z	-
dc.date.issued	2015	-
dc.identifier.citation	A. Gaspar Cunha, J. C. Ferreira, J. A. Covas and G. Recio, "Selection of solutions in multi-objective optimization: Decision making and robustness," 2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM), Orlando, FL, 2014, pp. 16-23, doi: 10.1109/MCDM.2014.7007183.	por
dc.identifier.isbn	9781479944682	por
dc.identifier.uri	https://hdl.handle.net/1822/69372	-
dc.description.abstract	A multidisciplinary design an optimization framework based on the use of multi-objective evolutionary algorithms, together with decision making and robustness strategies, was used to optimize the polymer extrusion process. This methodology was applied with the aim to select the best solutions from the Pareto set in a multi-objective environment. The application to a complex polymer extrusion case study demonstrated the validity and usefulness of the approach.	por
dc.description.sponsorship	This work was supported by the Portuguese Fundação para a Ciência e Tecnologia under grant PEst-C/CTM/LA0025/2013 (Projecto Estratégico - LA 25–2013–2014 - Strategic Project - LA 25–2013–2014). The authors also acknowledge the funding provided by project Matepro — “Optimizing Materials and Processes” (ref. NORTE-07–0124-FEDER-000037 supported by the ON.2 program, Portugal) and the European Comission under the project with title SEACW: Social Ecosystem for anti-aging, capacitation and wellbeing.	por
dc.language.iso	eng	por
dc.publisher	Institute of Electrical and Electronics Engineers Inc.	por
dc.relation	info:eu-repo/grantAgreement/FCT/COMPETE/132964/PT	por
dc.rights	restrictedAccess	por
dc.subject	Decision making	por
dc.subject	Evolutionary algorithms	por
dc.subject	Multi-objective	por
dc.subject	Polymer extrusion	por
dc.subject	Robustness	por
dc.title	Selection of solutions in multi-objective optimization: Decision making and robustness	por
dc.type	conferencePaper	por
dc.peerreviewed	yes	por
dc.relation.publisherversion	https://ieeexplore.ieee.org/document/7007183	por
oaire.citationStartPage	16	por
oaire.citationEndPage	23	por
dc.identifier.doi	10.1109/MCDM.2014.7007183	por
dc.date.embargo	10000-01-01	-
sdum.conferencePublication	IEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - MCDM 2014: 2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making, Proceedings	por
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