A multi-objective evolutionary approach for phylogenetic inference (2007)
- Authors:
- Autor USP: DELBEM, ALEXANDRE CLÁUDIO BOTAZZO - ICMC
- Unidade: ICMC
- Subjects: SISTEMAS EMBUTIDOS; COMPUTAÇÃO EVOLUTIVA; ROBÓTICA
- Language: Inglês
- Imprenta:
- Publisher: Springer-Verlag
- Publisher place: Heidelberg
- Date published: 2007
- ISBN: 9783540709275
- Source:
- Título: Lecture Notes in Computer Science
- Volume/Número/Paginação/Ano: v. 4403, p. 428-442, 2007
- Conference titles: International Conference - EMO
-
ABNT
CANCINO, Waldo e DELBEM, Alexandre Cláudio Botazzo. A multi-objective evolutionary approach for phylogenetic inference. Lecture Notes in Computer Science. Heidelberg: Springer-Verlag. Disponível em: http://www.springerlink.com/content/r553m7157789/?p=e28a217f28ca4dbea31ccee7ee5b9fa4&pi=994. Acesso em: 14 fev. 2026. , 2007 -
APA
Cancino, W., & Delbem, A. C. B. (2007). A multi-objective evolutionary approach for phylogenetic inference. Lecture Notes in Computer Science. Heidelberg: Springer-Verlag. Recuperado de http://www.springerlink.com/content/r553m7157789/?p=e28a217f28ca4dbea31ccee7ee5b9fa4&pi=994 -
NLM
Cancino W, Delbem ACB. A multi-objective evolutionary approach for phylogenetic inference [Internet]. Lecture Notes in Computer Science. 2007 ; 4403 428-442.[citado 2026 fev. 14 ] Available from: http://www.springerlink.com/content/r553m7157789/?p=e28a217f28ca4dbea31ccee7ee5b9fa4&pi=994 -
Vancouver
Cancino W, Delbem ACB. A multi-objective evolutionary approach for phylogenetic inference [Internet]. Lecture Notes in Computer Science. 2007 ; 4403 428-442.[citado 2026 fev. 14 ] Available from: http://www.springerlink.com/content/r553m7157789/?p=e28a217f28ca4dbea31ccee7ee5b9fa4&pi=994 - On the effectiveness of genetic algorithms for the multidimensional knapsack problem
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