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Artigo de periodico
A system for orchestrating multiple procedurally generated content for different player profiles (2024)
Pereira, Leonardo Tortoro ; Viana, Breno Mauricio de Freitas ; Toledo, Claudio Fabiano Motta
Source: IEEE Transactions on Games. Unidade: ICMC
Subjects: JOGOS DE COMPUTADOR, ALGORITMOS, ARQUITETURA DE SOFTWARE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PEREIRA, Leonardo Tortoro e VIANA, Breno Mauricio de Freitas e TOLEDO, Claudio Fabiano Motta. A system for orchestrating multiple procedurally generated content for different player profiles. IEEE Transactions on Games, v. 16, n. 1, p. 64-74, 2024Tradução . . Disponível em: https://doi.org/10.1109/TG.2022.3213781. Acesso em: 03 out. 2024.
APA
Pereira, L. T., Viana, B. M. de F., & Toledo, C. F. M. (2024). A system for orchestrating multiple procedurally generated content for different player profiles. IEEE Transactions on Games, 16( 1), 64-74. doi:10.1109/TG.2022.3213781
NLM
Pereira LT, Viana BM de F, Toledo CFM. A system for orchestrating multiple procedurally generated content for different player profiles [Internet]. IEEE Transactions on Games. 2024 ; 16( 1): 64-74.[citado 2024 out. 03 ] Available from: https://doi.org/10.1109/TG.2022.3213781
Vancouver
Pereira LT, Viana BM de F, Toledo CFM. A system for orchestrating multiple procedurally generated content for different player profiles [Internet]. IEEE Transactions on Games. 2024 ; 16( 1): 64-74.[citado 2024 out. 03 ] Available from: https://doi.org/10.1109/TG.2022.3213781
Trabalho de evento
Illuminating the space of enemies through MAP-Elites (2022)
Viana, Breno Mauricio de Freitas ; Pereira, Leonardo Tortoro ; Toledo, Claudio Fabiano Motta
Source: Proceedings. Conference titles: IEEE Conference on Games - CoG. Unidade: ICMC
Subjects: JOGOS DE COMPUTADOR, ALGORITMOS GENÉTICOS, DESENVOLVIMENTO DE PRODUTOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VIANA, Breno Mauricio de Freitas e PEREIRA, Leonardo Tortoro e TOLEDO, Claudio Fabiano Motta. Illuminating the space of enemies through MAP-Elites. 2022, Anais.. Los Alamitos: IEEE, 2022. Disponível em: https://doi.org/10.1109/CoG51982.2022.9893621. Acesso em: 03 out. 2024.
APA
Viana, B. M. de F., Pereira, L. T., & Toledo, C. F. M. (2022). Illuminating the space of enemies through MAP-Elites. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CoG51982.2022.9893621
NLM
Viana BM de F, Pereira LT, Toledo CFM. Illuminating the space of enemies through MAP-Elites [Internet]. Proceedings. 2022 ;[citado 2024 out. 03 ] Available from: https://doi.org/10.1109/CoG51982.2022.9893621
Vancouver
Viana BM de F, Pereira LT, Toledo CFM. Illuminating the space of enemies through MAP-Elites [Internet]. Proceedings. 2022 ;[citado 2024 out. 03 ] Available from: https://doi.org/10.1109/CoG51982.2022.9893621
Artigo de periodico
Feasible-infeasible two-population genetic algorithm to evolve dungeon levels with dependencies in barrier mechanics (2022)
Viana, Breno Mauricio de Freitas ; Pereira, Leonardo Tortoro ; Toledo, Claudio Fabiano Motta ; Santos, Selan Rodrigues dos ; Maia, Sílvia Maria Diniz Monteiro
Source: Applied Soft Computing. Unidade: ICMC
Subjects: JOGOS DE COMPUTADOR, OTIMIZAÇÃO RESTRITA, ALGORITMOS GENÉTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VIANA, Breno Mauricio de Freitas et al. Feasible-infeasible two-population genetic algorithm to evolve dungeon levels with dependencies in barrier mechanics. Applied Soft Computing, v. 119, p. 1-16, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2022.108586. Acesso em: 03 out. 2024.
APA
Viana, B. M. de F., Pereira, L. T., Toledo, C. F. M., Santos, S. R. dos, & Maia, S. M. D. M. (2022). Feasible-infeasible two-population genetic algorithm to evolve dungeon levels with dependencies in barrier mechanics. Applied Soft Computing, 119, 1-16. doi:10.1016/j.asoc.2022.108586
NLM
Viana BM de F, Pereira LT, Toledo CFM, Santos SR dos, Maia SMDM. Feasible-infeasible two-population genetic algorithm to evolve dungeon levels with dependencies in barrier mechanics [Internet]. Applied Soft Computing. 2022 ; 119 1-16.[citado 2024 out. 03 ] Available from: https://doi.org/10.1016/j.asoc.2022.108586
Vancouver
Viana BM de F, Pereira LT, Toledo CFM, Santos SR dos, Maia SMDM. Feasible-infeasible two-population genetic algorithm to evolve dungeon levels with dependencies in barrier mechanics [Internet]. Applied Soft Computing. 2022 ; 119 1-16.[citado 2024 out. 03 ] Available from: https://doi.org/10.1016/j.asoc.2022.108586
Trabalho de evento
Procedural enemy generation through parallel evolutionary algorithm (2021)
Pereira, Leonardo Tortoro ; Viana, Breno Mauricio de Freitas ; Toledo, Claudio Fabiano Motta
Source: Proceedings. Conference titles: Brazilian Symposium on Computer Games and Digital Entertainment - SBGames. Unidade: ICMC
Subjects: ALGORITMOS GENÉTICOS, JOGOS DE COMPUTADOR, JOGADORES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PEREIRA, Leonardo Tortoro e VIANA, Breno Mauricio de Freitas e TOLEDO, Claudio Fabiano Motta. Procedural enemy generation through parallel evolutionary algorithm. 2021, Anais.. Porto Alegre: SBC, 2021. Disponível em: https://www.sbgames.org/proceedings2021/ComputacaoFull/217289.pdf. Acesso em: 03 out. 2024.
APA
Pereira, L. T., Viana, B. M. de F., & Toledo, C. F. M. (2021). Procedural enemy generation through parallel evolutionary algorithm. In Proceedings. Porto Alegre: SBC. Recuperado de https://www.sbgames.org/proceedings2021/ComputacaoFull/217289.pdf
NLM
Pereira LT, Viana BM de F, Toledo CFM. Procedural enemy generation through parallel evolutionary algorithm [Internet]. Proceedings. 2021 ;[citado 2024 out. 03 ] Available from: https://www.sbgames.org/proceedings2021/ComputacaoFull/217289.pdf
Vancouver
Pereira LT, Viana BM de F, Toledo CFM. Procedural enemy generation through parallel evolutionary algorithm [Internet]. Proceedings. 2021 ;[citado 2024 out. 03 ] Available from: https://www.sbgames.org/proceedings2021/ComputacaoFull/217289.pdf

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