On the convergence of decomposition algorithms in many-objective problems

dc.creatorRicardo Hiroshi Caldeira Takahashi
dc.date.accessioned2021-08-27T00:17:05Z
dc.date.accessioned2025-09-09T00:00:36Z
dc.date.available2021-08-27T00:17:05Z
dc.date.copyright2019
dc.date.issued2019
dc.identifier.doihttps://doi.org/10.1007/978-3-030-12598-1_4
dc.identifier.isbn978-3-030-12598-1
dc.identifier.urihttps://hdl.handle.net/1843/37806
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofEvolutionary Multi-Criterion Optimization : International Conference on Evolutionary Multi-Criterion Optimization :Lecture Notes in Computer Science (LNCS, volume 11411) :
dc.rightsAcesso Restrito
dc.subjectOtimização multiobjetivo
dc.subjectMétodo de decomposição
dc.subjectTchebyschev, decomposição de.
dc.subjectAlgoritmos genéticos
dc.subject.otherMany-objective problems
dc.subject.otherDecomposition methods
dc.subject.otherTchebyschev decomposition
dc.titleOn the convergence of decomposition algorithms in many-objective problems
dc.typeCapítulo de livro
local.citation.epage50
local.citation.spage39
local.identifier.orcidhttps://orcid.org/0000-0003-0814-6314
local.publisher.countryBrasil
local.publisher.departmentICX - DEPARTAMENTO DE MATEMÁTICA
local.publisher.editoraSpringer
local.publisher.initialsUFMG
local.url.externahttps://link.springer.com/chapter/10.1007/978-3-030-12598-1_4

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