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Evolutionary robustness analysis for multi-objective optimization: Benchmark problems

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dc.affiliation.dptoUC3M. Departamento de Informáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Computación Evolutiva y Redes Neuronales (EVANNAI)es
dc.contributor.authorGaspar Cunha, Antonio
dc.contributor.authorFerreira, Jose
dc.contributor.authorRecio, Gustavo
dc.date.accessioned2020-09-24T08:40:14Z
dc.date.available2020-09-24T08:40:14Z
dc.date.issued2014-05-01
dc.description.abstractThis paper presents a new approach to robustness analysis in multi-objective optimization problems aimed at obtaining the most robust Pareto front solutions and distributing the solutions along the most robust regions of the optimal Pareto set. A new set of test problems accounting for the different types of robustness cases is presented in this study. Non-dominated solutions are classified according to their degree of robustness and are distributed along the Pareto front according to specific algorithm parameter values. Verification of the proposed method is carried out using the developed test problems and artificial and real world benchmark test problems present in the literature.en
dc.description.sponsorshipThis work was partially supported by the Portuguese Foundation for Science and Technology under grant PEst-C/CTM/LA0025/2011 (Strategic Project - LA 25 - 2011-2012 and by the Spanish Ministerio de Ciencia e Innovación, under the project Gestión de movilidad efficiente y sostenible, MOVES with grant reference TIN2011-28336.en
dc.identifier.bibliographicCitationGaspar-Cunha, A., Ferreira, J. & Recio, G. Evolutionary robustness analysis for multi-objective optimization: benchmark problems. Struct Multidisc Optim 49, 771–793 (2014)en
dc.identifier.doihttps://doi.org/10.1007/s00158-013-1010-x
dc.identifier.issn1615-147X
dc.identifier.publicationfirstpage771
dc.identifier.publicationissue5
dc.identifier.publicationlastpage793
dc.identifier.publicationtitleSTRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATIONen
dc.identifier.publicationvolume49
dc.identifier.urihttps://hdl.handle.net/10016/30848
dc.identifier.uxxiAR/0000015041
dc.language.isoenges
dc.publisherSpringer Natureen
dc.relation.projectIDGobierno de España. TIN2011-28336es
dc.rightsCopyright © 2013, Springer Naturees
dc.rights.accessRightsopen accesses
dc.subject.ecienciaInformáticaes
dc.subject.otherMultidisciplinaryen
dc.subject.otherRobustnessen
dc.subject.otherMulti-Objective optimizationen
dc.subject.otherTest problemsen
dc.titleEvolutionary robustness analysis for multi-objective optimization: Benchmark problemsen
dc.typeresearch article*
dc.type.hasVersionAM*
dspace.entity.typePublication
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