Transgenic genetic algorithm to minimize the makespan in the job shop scheduling problem (2020)
- Authors:
- Autor USP: CONTRERAS, RODRIGO COLNAGO - ICMC
- Unidade: ICMC
- DOI: 10.5220/0008937004630474
- Subjects: ALGORITMOS GENÉTICOS; OTIMIZAÇÃO COMBINATÓRIA
- Keywords: Job Shop Scheduling Problem; Transgenic Operator
- Language: Inglês
- Imprenta:
- Publisher: SciTePress
- Publisher place: Lisboa
- Date published: 2020
- Source:
- Título: Proceedings
- Conference titles: International Conference on Agents and Artificial Intelligence - ICAART
- Status:
- Artigo publicado em periódico de acesso aberto (Gold Open Access)
- Versão do Documento:
- Versão publicada (Published version)
- Acessar versão aberta:
-
ABNT
VIANA, Monique Simplicio e MORANDIN JUNIOR, Orides e CONTRERAS, Rodrigo Colnago. Transgenic genetic algorithm to minimize the makespan in the job shop scheduling problem. 2020, Anais.. Lisboa: SciTePress, 2020. Disponível em: https://doi.org/10.5220/0008937004630474. Acesso em: 02 abr. 2026. -
APA
Viana, M. S., Morandin Junior, O., & Contreras, R. C. (2020). Transgenic genetic algorithm to minimize the makespan in the job shop scheduling problem. In Proceedings. Lisboa: SciTePress. doi:10.5220/0008937004630474 -
NLM
Viana MS, Morandin Junior O, Contreras RC. Transgenic genetic algorithm to minimize the makespan in the job shop scheduling problem [Internet]. Proceedings. 2020 ;[citado 2026 abr. 02 ] Available from: https://doi.org/10.5220/0008937004630474 -
Vancouver
Viana MS, Morandin Junior O, Contreras RC. Transgenic genetic algorithm to minimize the makespan in the job shop scheduling problem [Internet]. Proceedings. 2020 ;[citado 2026 abr. 02 ] Available from: https://doi.org/10.5220/0008937004630474 - Predição e análise visual de conjuntos de redes de conexões entre sinais suaves: aplicações em dados médicos de AVC
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