Discovering promising regions to help global numerical optimization algorithms (2007)
- Authors:
- USP affiliated authors: DELBEM, ALEXANDRE CLÁUDIO BOTAZZO - ICMC ; PINTO JUNIOR, DORIVAL LEÃO - ICMC
- Unidade: ICMC
- Assunto: INTELIGÊNCIA ARTIFICIAL
- Language: Inglês
- Imprenta:
- Source:
- Título: Lecture Notes in Artificial Intelligence
- ISSN: 0302-9743
- Volume/Número/Paginação/Ano: v. 4827, p. 72-82, 2007
- Conference titles: Mexican International Conference on Artificial Intelligence
-
ABNT
MELO, Vinicius Veloso de et al. Discovering promising regions to help global numerical optimization algorithms. Lecture Notes in Artificial Intelligence. Berlim: Springer. . Acesso em: 03 mar. 2026. , 2007 -
APA
Melo, V. V. de, Delbem, A. C. B., Pinto Junior, D. L., & Federson, F. M. (2007). Discovering promising regions to help global numerical optimization algorithms. Lecture Notes in Artificial Intelligence. Berlim: Springer. -
NLM
Melo VV de, Delbem ACB, Pinto Junior DL, Federson FM. Discovering promising regions to help global numerical optimization algorithms. Lecture Notes in Artificial Intelligence. 2007 ; 4827 72-82.[citado 2026 mar. 03 ] -
Vancouver
Melo VV de, Delbem ACB, Pinto Junior DL, Federson FM. Discovering promising regions to help global numerical optimization algorithms. Lecture Notes in Artificial Intelligence. 2007 ; 4827 72-82.[citado 2026 mar. 03 ] - Improving global numerical optimization using a search-space reduction algorithm
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