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Armañanzas Arnedillo, Ruben, Inza Cano, Iñaki, Santana, Roberto, Saeys, Yvan, Flores, Jose Luis, Lozano, Jose Antonio, Van de Peer, Yves, Blanco, Rosa, Robles Forcada, Víctor ORCID: https://orcid.org/0000-0003-3937-2269, Bielza Lozoya, María Concepción ORCID: https://orcid.org/0000-0001-7109-2668 and Larrañaga Múgica, Pedro María ORCID: https://orcid.org/0000-0003-0652-9872 (2008). A review of estimation of distribution algorithms in bioinformatics. "Biodata Mining", v. 1 (n. 6); pp. 1-12. ISSN 1756-0381. https://doi.org/10.1186/1756-0381-1-6.
Título: | A review of estimation of distribution algorithms in bioinformatics |
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Autor/es: |
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Tipo de Documento: | Artículo |
Título de Revista/Publicación: | Biodata Mining |
Fecha: | 2008 |
ISSN: | 1756-0381 |
Volumen: | 1 |
Materias: | |
Escuela: | Facultad de Informática (UPM) [antigua denominación] |
Departamento: | Otro |
Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
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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.
ID de Registro: | 13939 |
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Identificador DC: | https://oa.upm.es/13939/ |
Identificador OAI: | oai:oa.upm.es:13939 |
Identificador DOI: | 10.1186/1756-0381-1-6 |
URL Oficial: | http://www.biodatamining.org/content/1/1/6 |
Depositado por: | Memoria Investigacion |
Depositado el: | 21 Dic 2012 11:49 |
Ultima Modificación: | 20 Mar 2024 18:37 |