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A Comparison of Archiving Strategies for Characterization of Nearly Optimal Solutions under Multi-Objective Optimization

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A Comparison of Archiving Strategies for Characterization of Nearly Optimal Solutions under Multi-Objective Optimization

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dc.contributor.author Pajares-Ferrando, Alberto es_ES
dc.contributor.author Blasco, Xavier es_ES
dc.contributor.author Herrero Durá, Juan Manuel es_ES
dc.contributor.author Martínez Iranzo, Miguel Andrés es_ES
dc.date.accessioned 2022-09-08T18:03:25Z
dc.date.available 2022-09-08T18:03:25Z
dc.date.issued 2021-04-28 es_ES
dc.identifier.uri http://hdl.handle.net/10251/185672
dc.description.abstract [EN] In a multi-objective optimization problem, in addition to optimal solutions, multimodal and/or nearly optimal alternatives can also provide additional useful information for the decision maker. However, obtaining all nearly optimal solutions entails an excessive number of alternatives. Therefore, to consider the nearly optimal solutions, it is convenient to obtain a reduced set, putting the focus on the potentially useful alternatives. These solutions are the alternatives that are close to the optimal solutions in objective space, but which differ significantly in the decision space. To characterize this set, it is essential to simultaneously analyze the decision and objective spaces. One of the crucial points in an evolutionary multi-objective optimization algorithm is the archiving strategy. This is in charge of keeping the solution set, called the archive, updated during the optimization process. The motivation of this work is to analyze the three existing archiving strategies proposed in the literature (ArchiveUpdateP(Q,epsilon)D(xy), Archive_nevMOGA, and targetSelect) that aim to characterize the potentially useful solutions. The archivers are evaluated on two benchmarks and in a real engineering example. The contribution clearly shows the main differences between the three archivers. This analysis is useful for the design of evolutionary algorithms that consider nearly optimal solutions. es_ES
dc.description.sponsorship This work was supported in part by the Ministerio de Ciencia, Innovacion y Universidades (Spain) (grant number RTI2018-096904-B-I00), by the Generalitat Valenciana regional government through project AICO/2019/055 and by the Universitat Politecnica de Valencia (grant number SP20200109). es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation.ispartof Mathematics es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Multi-objective optimization es_ES
dc.subject Nearly optimal solutions es_ES
dc.subject Archiving strategy es_ES
dc.subject Evolutionary algorithm es_ES
dc.subject Non-linear parametric identification es_ES
dc.subject.classification INGENIERIA DE SISTEMAS Y AUTOMATICA es_ES
dc.title A Comparison of Archiving Strategies for Characterization of Nearly Optimal Solutions under Multi-Objective Optimization es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/math9090999 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-096904-B-I00/ES/HERRAMIENTAS DE OPTIMIZACION MULTIOBJETIVO PARA LA CARACTERIZACION Y ANALISIS DE CONCEPTOS DE DISEÑO Y SOLUCIONES SUB-OPTIMAS EFICIENTES EN PROBLEMAS DE INGENIERIA DE SISTEMAS/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/UPV//SP20200109/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GENERALITAT VALENCIANA//AICO%2F2019%2F055//HERRAMIENTAS AVANZADAS PARA LA OBTENCION Y ANALISIS DE SOLUCIONES EN PROBLEMAS DE OPTIMIZACION MULTIOBJETIVO/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/UPV-VIN//PAID-10-20//Exploración y explotación de técnicas de optimización multiobjetivo en ingeniería de sistemas./ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica es_ES
dc.description.bibliographicCitation Pajares-Ferrando, A.; Blasco, X.; Herrero Durá, JM.; Martínez Iranzo, MA. (2021). A Comparison of Archiving Strategies for Characterization of Nearly Optimal Solutions under Multi-Objective Optimization. Mathematics. 9(9):1-28. https://doi.org/10.3390/math9090999 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/math9090999 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 28 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 9 es_ES
dc.description.issue 9 es_ES
dc.identifier.eissn 2227-7390 es_ES
dc.relation.pasarela S\436821 es_ES
dc.contributor.funder GENERALITAT VALENCIANA es_ES
dc.contributor.funder AGENCIA ESTATAL DE INVESTIGACION es_ES
dc.contributor.funder UNIVERSIDAD POLITECNICA DE VALENCIA es_ES
dc.contributor.funder Universitat Politècnica de València es_ES
upv.costeAPC 1300 es_ES


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