Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: International Conference on Artificial Intelligence and Soft Computing - ICAISC. Unidade: ICMC
Assuntos: ALGORITMOS GENÉTICOS, COMPUTAÇÃO BIOINSPIRADA, OTIMIZAÇÃO COMBINATÓRIA
ABNT
VIANA, Monique Simplicio e CONTRERAS, Rodrigo Colnago e MORANDIN JUNIOR, Orides. A new genetic improvement operator based on frequency analysis for genetic algorithms applied to job shop scheduling problem. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-87986-0_39. Acesso em: 04 nov. 2025. , 2021APA
Viana, M. S., Contreras, R. C., & Morandin Junior, O. (2021). A new genetic improvement operator based on frequency analysis for genetic algorithms applied to job shop scheduling problem. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-87986-0_39NLM
Viana MS, Contreras RC, Morandin Junior O. A new genetic improvement operator based on frequency analysis for genetic algorithms applied to job shop scheduling problem [Internet]. Lecture Notes in Artificial Intelligence. 2021 ; 12854 434-450.[citado 2025 nov. 04 ] Available from: https://doi.org/10.1007/978-3-030-87986-0_39Vancouver
Viana MS, Contreras RC, Morandin Junior O. A new genetic improvement operator based on frequency analysis for genetic algorithms applied to job shop scheduling problem [Internet]. Lecture Notes in Artificial Intelligence. 2021 ; 12854 434-450.[citado 2025 nov. 04 ] Available from: https://doi.org/10.1007/978-3-030-87986-0_39
