On the effectiveness of genetic algorithms for the multidimensional knapsack problem (2014)
- Authors:
- Autor USP: DELBEM, ALEXANDRE CLÁUDIO BOTAZZO - ICMC
- Unidade: ICMC
- DOI: 10.1145/2598394.2598477
- Subjects: SISTEMAS EMBUTIDOS; COMPUTAÇÃO EVOLUTIVA; ROBÓTICA
- Language: Inglês
- Imprenta:
- Publisher: ACM
- Publisher place: New York, NY
- Date published: 2014
- ISBN: 9781450328814
- Source:
- Título: Proceedings
- Conference titles: International Conference on Genetic and Evolutionary Computation - GECCO'14
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
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ABNT
MARTINS, Jean e LONGO, Humberto e DELBEM, Alexandre Cláudio Botazzo. On the effectiveness of genetic algorithms for the multidimensional knapsack problem. 2014, Anais.. New York, NY: ACM, 2014. Disponível em: https://doi.org/10.1145/2598394.2598477. Acesso em: 06 fev. 2026. -
APA
Martins, J., Longo, H., & Delbem, A. C. B. (2014). On the effectiveness of genetic algorithms for the multidimensional knapsack problem. In Proceedings. New York, NY: ACM. doi:10.1145/2598394.2598477 -
NLM
Martins J, Longo H, Delbem ACB. On the effectiveness of genetic algorithms for the multidimensional knapsack problem [Internet]. Proceedings. 2014 ;[citado 2026 fev. 06 ] Available from: https://doi.org/10.1145/2598394.2598477 -
Vancouver
Martins J, Longo H, Delbem ACB. On the effectiveness of genetic algorithms for the multidimensional knapsack problem [Internet]. Proceedings. 2014 ;[citado 2026 fev. 06 ] Available from: https://doi.org/10.1145/2598394.2598477 - Multimodality and the linkage-learning difficulty of additively separable functions
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Informações sobre o DOI: 10.1145/2598394.2598477 (Fonte: oaDOI API)
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