Source: Computers and Industrial Engineering. Unidade: EESC
Subjects: PROGRAMAÇÃO DA PRODUÇÃO, PROCESSOS DE FABRICAÇÃO (ENGENHARIA MECÂNICA), ENGENHARIA MECÂNICA
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KATO, Edilson Reis Rodrigues e ARANHA, Gabriel Diego de Aguiar e TSUNAKI, Roberto Hideaki. A new approach to solve the flexible job shop problem based on a hybrid particle swarm optimization and Random-Restart Hill Climbing. Computers and Industrial Engineering, v. 125, p. 178-189, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.cie.2018.08.022. Acesso em: 20 set. 2024.APA
Kato, E. R. R., Aranha, G. D. de A., & Tsunaki, R. H. (2018). A new approach to solve the flexible job shop problem based on a hybrid particle swarm optimization and Random-Restart Hill Climbing. Computers and Industrial Engineering, 125, 178-189. doi:10.1016/j.cie.2018.08.022NLM
Kato ERR, Aranha GD de A, Tsunaki RH. A new approach to solve the flexible job shop problem based on a hybrid particle swarm optimization and Random-Restart Hill Climbing [Internet]. Computers and Industrial Engineering. 2018 ; 125 178-189.[citado 2024 set. 20 ] Available from: https://doi.org/10.1016/j.cie.2018.08.022Vancouver
Kato ERR, Aranha GD de A, Tsunaki RH. A new approach to solve the flexible job shop problem based on a hybrid particle swarm optimization and Random-Restart Hill Climbing [Internet]. Computers and Industrial Engineering. 2018 ; 125 178-189.[citado 2024 set. 20 ] Available from: https://doi.org/10.1016/j.cie.2018.08.022