A multi-population genetic algorithm for procedural generation of levels for platform games (2014)
- Authors:
- Autor USP: TOLEDO, CLÁUDIO FABIANO MOTTA - ICMC
- Unidade: ICMC
- DOI: 10.1145/2598394.2598489
- 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
FERREIRA, Lucas e PEREIRA, Leonardo Tortoro e TOLEDO, Claudio Fabiano Motta. A multi-population genetic algorithm for procedural generation of levels for platform games. 2014, Anais.. New York, NY: ACM, 2014. Disponível em: https://doi.org/10.1145/2598394.2598489. Acesso em: 10 fev. 2026. -
APA
Ferreira, L., Pereira, L. T., & Toledo, C. F. M. (2014). A multi-population genetic algorithm for procedural generation of levels for platform games. In Proceedings. New York, NY: ACM. doi:10.1145/2598394.2598489 -
NLM
Ferreira L, Pereira LT, Toledo CFM. A multi-population genetic algorithm for procedural generation of levels for platform games [Internet]. Proceedings. 2014 ;[citado 2026 fev. 10 ] Available from: https://doi.org/10.1145/2598394.2598489 -
Vancouver
Ferreira L, Pereira LT, Toledo CFM. A multi-population genetic algorithm for procedural generation of levels for platform games [Internet]. Proceedings. 2014 ;[citado 2026 fev. 10 ] Available from: https://doi.org/10.1145/2598394.2598489 - Evolutionary approaches to evolve AI scripts for a RTS game
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Informações sobre o DOI: 10.1145/2598394.2598489 (Fonte: oaDOI API)
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