An agent-based approach to procedural city generation incorporating land use and transport interaction models (2022)
- Authors:
- USP affiliated authors: CARVALHO, ANDRÉ CARLOS PONCE DE LEON FERREIRA DE - ICMC ; SANTOS, LUIZ FERNANDO SILVA EUGENIO DOS - ICMC
- Unidade: ICMC
- DOI: 10.5753/eniac.2022.227605
- Subjects: APRENDIZADO COMPUTACIONAL; CIDADES INTELIGENTES; REDES NEURAIS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: SBC
- Publisher place: Porto Alegre
- Date published: 2022
- Source:
- Conference titles: Encontro Nacional de Inteligência Artificial e Computacional - ENIAC
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
SANTOS, Luiz Fernando Silva Eugenio dos e ARANHA, Claus e CARVALHO, André Carlos Ponce de Leon Ferreira de. An agent-based approach to procedural city generation incorporating land use and transport interaction models. 2022, Anais.. Porto Alegre: SBC, 2022. Disponível em: https://doi.org/10.5753/eniac.2022.227605. Acesso em: 09 fev. 2026. -
APA
Santos, L. F. S. E. dos, Aranha, C., & Carvalho, A. C. P. de L. F. de. (2022). An agent-based approach to procedural city generation incorporating land use and transport interaction models. In Anais. Porto Alegre: SBC. doi:10.5753/eniac.2022.227605 -
NLM
Santos LFSE dos, Aranha C, Carvalho ACP de LF de. An agent-based approach to procedural city generation incorporating land use and transport interaction models [Internet]. Anais. 2022 ;[citado 2026 fev. 09 ] Available from: https://doi.org/10.5753/eniac.2022.227605 -
Vancouver
Santos LFSE dos, Aranha C, Carvalho ACP de LF de. An agent-based approach to procedural city generation incorporating land use and transport interaction models [Internet]. Anais. 2022 ;[citado 2026 fev. 09 ] Available from: https://doi.org/10.5753/eniac.2022.227605 - Multi-agent city expansion with land use and transport
- Gabinete pequeno é destaque de pc itautec
- New data strucutre and spanning forest operators for evolutionay algorithms
- Metalearning for context-aware filtering: selection of tensor factorization algorithms
- Evolutionary tuning of SVM parameter values in multiclass problems
- Dimensionality reduction for the algorithm recommendation problem
- Making data stream classification tree-based ensembles lighter
- A study of biclustering coherence measures for gene expression data
- Anomaly detection through temporal abstractions on intensive care data: position paper
- CF4CF: recommending collaborative filtering algorithms using collaborative filtering
Informações sobre o DOI: 10.5753/eniac.2022.227605 (Fonte: oaDOI API)
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
| 3113776.pdf | Direct link |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
