Parallel multi-objective approaches for inferring phylogenies (2010)
- Authors:
- Autor USP: DELBEM, ALEXANDRE CLÁUDIO BOTAZZO - ICMC
- Unidade: ICMC
- Subjects: SISTEMAS EMBUTIDOS; COMPUTAÇÃO EVOLUTIVA
- Language: Inglês
- Imprenta:
- Publisher: Springer
- Publisher place: Heidelberg
- Date published: 2010
- Source:
- Título: Lecture Notes in Computer Science
- ISSN: 0302-9743
- Volume/Número/Paginação/Ano: v. 6023, p. 26-37, 2010
- Conference titles: European Conference - EvoBIO
-
ABNT
TICONA, Waldo Gonzalo Cancino et al. Parallel multi-objective approaches for inferring phylogenies. Lecture Notes in Computer Science. Heidelberg: Springer. Disponível em: http://www.springerlink.com/content/b78866w872nl47n2/. Acesso em: 13 fev. 2026. , 2010 -
APA
Ticona, W. G. C., Jourdan, L., Talbi, E. -G., & Delbem, A. C. B. (2010). Parallel multi-objective approaches for inferring phylogenies. Lecture Notes in Computer Science. Heidelberg: Springer. Recuperado de http://www.springerlink.com/content/b78866w872nl47n2/ -
NLM
Ticona WGC, Jourdan L, Talbi E-G, Delbem ACB. Parallel multi-objective approaches for inferring phylogenies [Internet]. Lecture Notes in Computer Science. 2010 ; 6023 26-37.[citado 2026 fev. 13 ] Available from: http://www.springerlink.com/content/b78866w872nl47n2/ -
Vancouver
Ticona WGC, Jourdan L, Talbi E-G, Delbem ACB. Parallel multi-objective approaches for inferring phylogenies [Internet]. Lecture Notes in Computer Science. 2010 ; 6023 26-37.[citado 2026 fev. 13 ] Available from: http://www.springerlink.com/content/b78866w872nl47n2/ - On the effectiveness of genetic algorithms for the multidimensional knapsack problem
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