Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
Using MOEA with Redistribution and Consensus Branches to Infer Phylogenies
Year:2017
Research Areas
  • Computational biology
Information
Abstract
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 ?
International
Si
JCR
Si
Title
International Journal of Molecular Sciences
ISBN
1422-0067
Impact factor JCR
3,226
Impact info
Volume
Journal number
From page
62
To page
72
Month
SIN MES
Ranking
Participants
  • Autor: Xiaoping Min
  • Autor: Mouzhao Zhang
  • Autor: Sisi Yuan
  • Autor: Shengxiang Ge
  • Autor: Xiangrong Liu
  • Autor: Xiangxiang Zeng (UPM)
  • Autor: Ningshao Xia
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Inteligencia Artificial (LIA)
  • Departamento: Inteligencia Artificial
S2i 2020 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)