Feedback-control operators for improved Pareto-set description : application to a polymer extrusion process.

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dc.contributor.authorCarrano, Eduardo Gontijo
dc.contributor.authorCoelho, Dayanne Gouveia
dc.contributor.authorCunha, António Gaspar
dc.contributor.authorWanner, Elizabeth Fialho
dc.contributor.authorTakahashi, Ricardo Hiroshi Caldeira
dc.date.accessioned2016-10-03T18:21:31Z
dc.date.available2016-10-03T18:21:31Z
dc.date.issued2015
dc.description.abstractThis paper presents a new class of operators for multiobjective evolutionary algorithms that are inspired on feedback-control techniques. The proposed operators, the archive-set reduction and the surface-filling crossover, have the purpose of enhancing the quality of the description of the Pareto-set in multiobjective optimization problems. They act on the Pareto -estimate sample set, performing operations that eliminate archive points in the most crowded regions, and generate new points in the less populated regions, leading to a dynamic equilibrium that tends to generate a uniform sampling of the efficient solution set. The internal parameters of those operators are coordinated by feedback-control inspired techniques, which ensure that the desired equilibrium is attained. Numerical experiments in some benchmark problems and in a real problem of optimization of a single screw extrusion system for polymer processing show that the proposed methodology is able to generate more detailed descriptions of Pareto-optimal fronts than the ones produced by usual algorithms.pt_BR
dc.identifier.citationCARRANO, E. G. et al. Feedback-control operators for improved Pareto-set description: application to a polymer extrusion process. Engineering Applications of Artificial Intelligence, v. 38, p. 147-167, 2015. Disponível em: <http://www.sciencedirect.com/science/article/pii/S0952197614002565>. Acesso em: 07 ago. 2016.pt_BR
dc.identifier.doihttps://doi.org/10.1016/j.engappai.2014.10.016
dc.identifier.issn0952-1976
dc.identifier.urihttp://www.repositorio.ufop.br/handle/123456789/7018
dc.language.isoen_USpt_BR
dc.rightsabertopt_BR
dc.rights.licenseO periódico Engineering Applications of Artificial Intelligence concede permissão para depósito deste artigo no Repositório Institucional da UFOP. Número da licença: 3934300636088.pt_BR
dc.subjectEvolutionary computationpt_BR
dc.subjectMultiobjective optimizationpt_BR
dc.subjectGenetic algorithmspt_BR
dc.subjectPolymer extrusionpt_BR
dc.subjectLocal searchpt_BR
dc.titleFeedback-control operators for improved Pareto-set description : application to a polymer extrusion process.pt_BR
dc.typeArtigo publicado em periodicopt_BR
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