LONSA : a labeling-oriented non-dominated sorting algorithm for evolutionary many-objective optimization.

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MetadadosDescriçãoIdioma
Autor(es): dc.creatorAlexandre, Rafael Frederico-
Autor(es): dc.creatorBarbosa, Carlos Henrique Nogueira de Resende-
Autor(es): dc.creatorVasconcelos, João Antônio de-
Data de aceite: dc.date.accessioned2025-08-21T15:34:06Z-
Data de disponibilização: dc.date.available2025-08-21T15:34:06Z-
Data de envio: dc.date.issued2018-10-09-
Data de envio: dc.date.issued2018-10-09-
Data de envio: dc.date.issued2018-
Fonte completa do material: dc.identifierhttp://www.repositorio.ufop.br/handle/123456789/10328-
Fonte completa do material: dc.identifierhttps://www.sciencedirect.com/science/article/pii/S2210650217306806#!-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1018546-
Descrição: dc.descriptionMultiobjective algorithms are powerful in tackling complex optmization problems mathematically represented by two or more conflicting objective functions and their constraints. Sorting a set of current solutions across non-dominated fronts is the key step for the searching process to finally identify which ones are the best solutions. To perform that step, a high computational effort is demanded, especially if the size of the solution set is huge or the mathematical model corresponds to a many-objective problem. In order to overcome this, a new labeling-oriented algorithm is proposed in this paper to speed up the solution-to-front assignment by avoiding usual dominance tests. Along with this algorithm, called Labeling-Oriented Non-dominated Sorting Algorithm (LONSA), the associated methodology is carefully detailed to clearly explain how the classification of the solution set is successfully achieved. This work presents a comparison between LONSA and other well-known algorithms usually found in the literature. The simulation results have shown a better performance of the proposed algorithm against nine chosen strategies in terms of computational time as well as number of comparisons.-
Formato: dc.formatapplication/pdf-
Idioma: dc.languageen-
Direitos: dc.rightsrestrito-
Palavras-chave: dc.subjectMultiobjective optimization-
Palavras-chave: dc.subjectSolution labeling-
Palavras-chave: dc.subjectNon-dominance-
Título: dc.titleLONSA : a labeling-oriented non-dominated sorting algorithm for evolutionary many-objective optimization.-
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