A hybrid multi-population genetic algorithm for UAV path planning (2016)
- Authors:
- Autor USP: TOLEDO, CLÁUDIO FABIANO MOTTA - ICMC
- Unidade: ICMC
- DOI: 10.1145/2908812.2908919
- Subjects: SISTEMAS EMBUTIDOS; COMPUTAÇÃO EVOLUTIVA; ROBÓTICA
- Keywords: Glass container industry; Multi-facility; Lotsizing and scheduling; MP based heuristics; Genetic algorithms
- Language: Inglês
- Imprenta:
- Publisher: ACM
- Publisher place: New York, NY
- Date published: 2016
- Source:
- Título: Proceedings
- Volume/Número/Paginação/Ano: New York, NY : ACM, 2016
- Conference titles: Genetic and Evolutionary Computation Conference - GECCO'16
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
ARANTES, Márcio da Silva et al. A hybrid multi-population genetic algorithm for UAV path planning. 2016, Anais.. New York, NY: ACM, 2016. Disponível em: https://doi.org/10.1145/2908812.2908919. Acesso em: 25 fev. 2026. -
APA
Arantes, M. da S., Arantes, J. da S., Toledo, C. F. M., & Williams, B. C. (2016). A hybrid multi-population genetic algorithm for UAV path planning. In Proceedings. New York, NY: ACM. doi:10.1145/2908812.2908919 -
NLM
Arantes M da S, Arantes J da S, Toledo CFM, Williams BC. A hybrid multi-population genetic algorithm for UAV path planning [Internet]. Proceedings. 2016 ;[citado 2026 fev. 25 ] Available from: https://doi.org/10.1145/2908812.2908919 -
Vancouver
Arantes M da S, Arantes J da S, Toledo CFM, Williams BC. A hybrid multi-population genetic algorithm for UAV path planning [Internet]. Proceedings. 2016 ;[citado 2026 fev. 25 ] Available from: https://doi.org/10.1145/2908812.2908919 - Evolutionary approaches to evolve AI scripts for a RTS game
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Informações sobre o DOI: 10.1145/2908812.2908919 (Fonte: oaDOI API)
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