Rolim, Gustavo Alencar; Nagano, Marcelo Seido 
Fonte: Computers and Operations Research. Unidade: EESC
Assuntos: PESQUISA OPERACIONAL, ALGORITMOS GENÉTICOS, PROGRAMAÇÃO DA PRODUÇÃO, ENGENHARIA DE PRODUÇÃO
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ROLIM, Gustavo Alencar e NAGANO, Marcelo Seido. Designing state-of-the-art metaheuristics: what have we learned from the parallel-machine scheduling problem with setups?. Computers and Operations Research, v. 182, p. 1-15, 2025Tradução . . Disponível em: https://dx.doi.org/10.1016/j.cor.2025.107110. Acesso em: 09 nov. 2025.APA
Rolim, G. A., & Nagano, M. S. (2025). Designing state-of-the-art metaheuristics: what have we learned from the parallel-machine scheduling problem with setups? Computers and Operations Research, 182, 1-15. doi:10.1016/j.cor.2025.107110NLM
Rolim GA, Nagano MS. Designing state-of-the-art metaheuristics: what have we learned from the parallel-machine scheduling problem with setups? [Internet]. Computers and Operations Research. 2025 ; 182 1-15.[citado 2025 nov. 09 ] Available from: https://dx.doi.org/10.1016/j.cor.2025.107110Vancouver
Rolim GA, Nagano MS. Designing state-of-the-art metaheuristics: what have we learned from the parallel-machine scheduling problem with setups? [Internet]. Computers and Operations Research. 2025 ; 182 1-15.[citado 2025 nov. 09 ] Available from: https://dx.doi.org/10.1016/j.cor.2025.107110
