Exploratory path planning using the Max-Min Ant system algorithm (2016)
- Authors:
- USP affiliated authors: OSÓRIO, FERNANDO SANTOS - ICMC ; TOLEDO, CLÁUDIO FABIANO MOTTA - ICMC
- Unidade: ICMC
- DOI: 10.1109/CEC.2016.7744327
- Subjects: SISTEMAS EMBUTIDOS; COMPUTAÇÃO EVOLUTIVA; ROBÓTICA
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway, NJ
- Date published: 2016
- Source:
- Título: Proceedings
- Conference titles: IEEE Congress on Evolutionary Computation - CEC
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: green
-
ABNT
SANTOS, Valéria de Carvalho et al. Exploratory path planning using the Max-Min Ant system algorithm. 2016, Anais.. Piscataway, NJ: IEEE, 2016. Disponível em: https://doi.org/10.1109/CEC.2016.7744327. Acesso em: 28 dez. 2025. -
APA
Santos, V. de C., Osório, F. S., Toledo, C. F. M., Otero, F. E. B., & Johnson, C. G. (2016). Exploratory path planning using the Max-Min Ant system algorithm. In Proceedings. Piscataway, NJ: IEEE. doi:10.1109/CEC.2016.7744327 -
NLM
Santos V de C, Osório FS, Toledo CFM, Otero FEB, Johnson CG. Exploratory path planning using the Max-Min Ant system algorithm [Internet]. Proceedings. 2016 ;[citado 2025 dez. 28 ] Available from: https://doi.org/10.1109/CEC.2016.7744327 -
Vancouver
Santos V de C, Osório FS, Toledo CFM, Otero FEB, Johnson CG. Exploratory path planning using the Max-Min Ant system algorithm [Internet]. Proceedings. 2016 ;[citado 2025 dez. 28 ] Available from: https://doi.org/10.1109/CEC.2016.7744327 - A hybrid approach for path planning and execution for autonomous mobile robots
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- Glass container production scheduling through hybrid multi-population based evolutionary algorithm
Informações sobre o DOI: 10.1109/CEC.2016.7744327 (Fonte: oaDOI API)
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