Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
A review of estimation of distribution algorithms in bioinformatics
Year:2008
Research Areas
  • Electric engineers, electronic and automatic (eil)
Information
Abstract
Evolutionary search algorithms have become an essential asset in the algorithmic toolbox for solving high-dimensional optimization problems in across a broad range of bioinformatics problems. Genetic algorithms, the most well-known and representative evolutionary search technique, have been the subject of the major part of such applications. Estimation of distribution algorithms (EDAs) offer a novel evolutionary paradigm that constitutes a natural and attractive alternative to genetic algorithms. They make use of a probabilistic model, learnt from the promising solutions, to guide the search process. In this paper, we set out a basic taxonomy of EDA techniques, underlining the nature and complexity of the probabilistic model of each EDA variant. We review a set of innovative works that make use of EDA techniques to solve challenging bioinformatics problems, emphasizing the EDA paradigm's potential for further research in this domain.
International
Si
JCR
No
Title
BioData Mining
ISBN
1756-0381
Impact factor JCR
0
Impact info
Volume
Journal number
0
From page
1
To page
12
Month
ENERO
Ranking
Participants
  • Participante: Iván Sayes
  • Participante: José Antonio Lozano
  • Participante: Roberto Santana
  • Participante: Rubén Armazañas
  • Autor: Victor Robles Forcada (UPM)
  • Autor: Pedro Maria Larrañaga Mugica (UPM)
  • Participante: Iñaqui Inza
  • Participante: Rosa Blanco
  • Autor: Maria Concepcion Bielza Lozoya (UPM)
  • Participante: Yves Van de Peer
  • Participante: José Luis Flores
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de análisis de decisiones y estadística
  • Departamento: Inteligencia Artificial
  • Departamento: Arquitectura y Tecnología de Sistemas Informáticos
  • Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB
  • Grupo de Investigación: Data Mining Engineering (DaME) Ingeniería de Minería de datos
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)