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Descripción
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| In recent years, to infer phylogenies, which are NP-hard problems, more and more research has focused on using metaheuristics. Maximum Parsimony and Maximum Likelihood are two effective ways to conduct inference. Based on these methods, which can also be considered as the optimal criteria for phylogenies, various kinds of multi-objective metaheuristics have been used to reconstruct phylogenies. However, combining these two time-consuming methods results in those multi-objective metaheuristics being slower than a single objective. Therefore, we propose a novel, multi-objective optimization algorithm, MOEA-RC, to accelerate the processes of rebuilding phylogenies using structural information of elites in current populations. We compare MOEA-RC with two representative multi-objective algorithms, MOEA/D and NAGA-II, and a non-consensus version of MOEA ? | |
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Internacional
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JCR del ISI
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Título de la revista
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International Journal of Molecular Sciences |
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ISSN
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1422-0067 |
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Factor de impacto JCR
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3,226 |
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Información de impacto
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Volumen
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DOI
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Número de revista
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Desde la página
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62 |
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Hasta la página
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72 |
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Mes
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SIN MES |
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Ranking
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