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dc.contributor.authorFalcon-Cardona, J.G
dc.contributor.authorIshibuchi, H.
dc.contributor.authorCoello, C.A. 
dc.contributor.authorEmmerich, M.
dc.date.accessioned2022-01-02T12:21:59Z
dc.date.available2022-01-02T12:21:59Z
dc.date.issued2021-08-01
dc.identifier.issn1089778X
dc.identifier.urihttp://hdl.handle.net/20.500.11824/1401
dc.description.abstractFor almost 20 years, quality indicators (QIs) have promoted the design of new selection mechanisms of multiobjective evolutionary algorithms (MOEAs). Each indicator-based MOEA (IB-MOEA) has specific search preferences related to its baseline QI, producing Pareto front approximations with different properties. In consequence, an IB-MOEA based on a single QI has a limited scope of multiobjective optimization problems (MOPs) in which it is expected to have a good performance. This issue is emphasized when the associated Pareto front geometries are highly irregular. In order to overcome these issues, we propose here an island-based multiindicator algorithm (IMIA) that takes advantage of the search biases of multiple IB-MOEAs through a cooperative scheme. Our experimental results show that the cooperation of multiple IB-MOEAs allows IMIA to perform more robustly (considering several QIs) than the panmictic versions of its baseline IB-MOEAs as well as several state-of-the-art MOEAs. Additionally, IMIA shows a Pareto-front-shape invariance property, which makes it a remarkable optimizer when tackling MOPs with complex Pareto front geometries.en_US
dc.formatapplication/pdfen_US
dc.language.isoengen_US
dc.rightsReconocimiento-NoComercial-CompartirIgual 3.0 Españaen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/es/en_US
dc.subjectIsland modelen_US
dc.subjectmultiobjective optimizationen_US
dc.subjectquality indicators (QIs)en_US
dc.subjectselection mechanismen_US
dc.titleOn the Effect of the Cooperation of Indicator-Based Multiobjective Evolutionary Algorithmsen_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.identifier.doi10.1109/TEVC.2021.3061545en_US
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen_US
dc.type.hasVersioninfo:eu-repo/semantics/submittedVersionen_US
dc.journal.titleIEEE Transactions on Evolutionary Computationen_US
dc.volume.number25en_US
dc.issue.number4en_US


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Reconocimiento-NoComercial-CompartirIgual 3.0 España
Except where otherwise noted, this item's license is described as Reconocimiento-NoComercial-CompartirIgual 3.0 España