Speeding up search-based algorithms for level generation in physics-based puzzle games (2017)
- Authors:
- Autor USP: TOLEDO, CLÁUDIO FABIANO MOTTA - ICMC
- Unidade: ICMC
- DOI: 10.1142/S0218213017600193
- Subjects: SISTEMAS EMBUTIDOS; COMPUTAÇÃO EVOLUTIVA; ROBÓTICA; ALGORITMOS; CLASSIFICAÇÃO; JOGOS DE COMPUTADOR
- Keywords: machine learning; procedural content generation
- Language: Inglês
- Imprenta:
- Source:
- Título: International Journal on Artificial Intelligence Tools
- ISSN: 0218-2130
- Volume/Número/Paginação/Ano: v. 26, n. 5, p. 1760019-1-1760019-23, Out. 2017
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
PEREIRA, Leonardo Tortoro e TOLEDO, Claudio Fabiano Motta. Speeding up search-based algorithms for level generation in physics-based puzzle games. International Journal on Artificial Intelligence Tools, v. 26, n. 5, p. 1760019-1-1760019-23, 2017Tradução . . Disponível em: https://doi.org/10.1142/S0218213017600193. Acesso em: 04 mar. 2026. -
APA
Pereira, L. T., & Toledo, C. F. M. (2017). Speeding up search-based algorithms for level generation in physics-based puzzle games. International Journal on Artificial Intelligence Tools, 26( 5), 1760019-1-1760019-23. doi:10.1142/S0218213017600193 -
NLM
Pereira LT, Toledo CFM. Speeding up search-based algorithms for level generation in physics-based puzzle games [Internet]. International Journal on Artificial Intelligence Tools. 2017 ; 26( 5): 1760019-1-1760019-23.[citado 2026 mar. 04 ] Available from: https://doi.org/10.1142/S0218213017600193 -
Vancouver
Pereira LT, Toledo CFM. Speeding up search-based algorithms for level generation in physics-based puzzle games [Internet]. International Journal on Artificial Intelligence Tools. 2017 ; 26( 5): 1760019-1-1760019-23.[citado 2026 mar. 04 ] Available from: https://doi.org/10.1142/S0218213017600193 - Evolutionary approaches to evolve AI scripts for a RTS game
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Informações sobre o DOI: 10.1142/S0218213017600193 (Fonte: oaDOI API)
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