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Artigo de periodico
Lagrangian-based heuristics for production planning with perishable products, scarce resources, and sequence-dependent setup times (2025)
Soler, Willy Alves de Oliveira ; Santos, Maristela Oliveira dos ; Akartunalı, Kerem
Source: Journal of Heuristics. Unidade: ICMC
Subjects: HEURÍSTICA, PLANEJAMENTO DA PRODUÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SOLER, Willy Alves de Oliveira e SANTOS, Maristela Oliveira dos e AKARTUNALI, Kerem. Lagrangian-based heuristics for production planning with perishable products, scarce resources, and sequence-dependent setup times. Journal of Heuristics, v. 31, p. 1-35, 2025Tradução . . Disponível em: https://doi.org/10.1007/s10732-024-09539-w. Acesso em: 29 nov. 2025.
APA
Soler, W. A. de O., Santos, M. O. dos, & Akartunalı, K. (2025). Lagrangian-based heuristics for production planning with perishable products, scarce resources, and sequence-dependent setup times. Journal of Heuristics, 31, 1-35. doi:10.1007/s10732-024-09539-w
NLM
Soler WA de O, Santos MO dos, Akartunalı K. Lagrangian-based heuristics for production planning with perishable products, scarce resources, and sequence-dependent setup times [Internet]. Journal of Heuristics. 2025 ; 31 1-35.[citado 2025 nov. 29 ] Available from: https://doi.org/10.1007/s10732-024-09539-w
Vancouver
Soler WA de O, Santos MO dos, Akartunalı K. Lagrangian-based heuristics for production planning with perishable products, scarce resources, and sequence-dependent setup times [Internet]. Journal of Heuristics. 2025 ; 31 1-35.[citado 2025 nov. 29 ] Available from: https://doi.org/10.1007/s10732-024-09539-w
Artigo de periodico
Meta-heuristics for the one-dimensional cutting stock problem with usable leftover (2020)
Ravelo, Santiago Valdés ; Meneses, Cláudio Nogueira de ; Santos, Maristela Oliveira dos
Source: Journal of Heuristics. Unidade: ICMC
Subjects: HEURÍSTICA, OTIMIZAÇÃO COMBINATÓRIA, ALGORITMOS ÚTEIS E ESPECÍFICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RAVELO, Santiago Valdés e MENESES, Cláudio Nogueira de e SANTOS, Maristela Oliveira dos. Meta-heuristics for the one-dimensional cutting stock problem with usable leftover. Journal of Heuristics, v. 26, p. 585-618, 2020Tradução . . Disponível em: https://doi.org/10.1007/s10732-020-09443-z. Acesso em: 29 nov. 2025.
APA
Ravelo, S. V., Meneses, C. N. de, & Santos, M. O. dos. (2020). Meta-heuristics for the one-dimensional cutting stock problem with usable leftover. Journal of Heuristics, 26, 585-618. doi:10.1007/s10732-020-09443-z
NLM
Ravelo SV, Meneses CN de, Santos MO dos. Meta-heuristics for the one-dimensional cutting stock problem with usable leftover [Internet]. Journal of Heuristics. 2020 ; 26 585-618.[citado 2025 nov. 29 ] Available from: https://doi.org/10.1007/s10732-020-09443-z
Vancouver
Ravelo SV, Meneses CN de, Santos MO dos. Meta-heuristics for the one-dimensional cutting stock problem with usable leftover [Internet]. Journal of Heuristics. 2020 ; 26 585-618.[citado 2025 nov. 29 ] Available from: https://doi.org/10.1007/s10732-020-09443-z
Artigo de periodico
MIQP model and improvement heuristic for power loss minimization in distribution system with network reconfiguration (2020)
Freitas, Karla Barbosa de ; Arantes, Márcio da Silva; Toledo, Claudio Fabiano Motta ; Delbem, Alexandre Cláudio Botazzo
Source: Journal of Heuristics. Unidade: ICMC
Subjects: REDES DE DISTRIBUIÇÃO DE ENERGIA ELÉTRICA, HEURÍSTICA, COMPARABILIDADE DOS DADOS, BENCHMARKS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FREITAS, Karla Barbosa de et al. MIQP model and improvement heuristic for power loss minimization in distribution system with network reconfiguration. Journal of Heuristics, v. 26, p. 59-81, 2020Tradução . . Disponível em: https://doi.org/10.1007/s10732-019-09421-0. Acesso em: 29 nov. 2025.
APA
Freitas, K. B. de, Arantes, M. da S., Toledo, C. F. M., & Delbem, A. C. B. (2020). MIQP model and improvement heuristic for power loss minimization in distribution system with network reconfiguration. Journal of Heuristics, 26, 59-81. doi:10.1007/s10732-019-09421-0
NLM
Freitas KB de, Arantes M da S, Toledo CFM, Delbem ACB. MIQP model and improvement heuristic for power loss minimization in distribution system with network reconfiguration [Internet]. Journal of Heuristics. 2020 ; 26 59-81.[citado 2025 nov. 29 ] Available from: https://doi.org/10.1007/s10732-019-09421-0
Vancouver
Freitas KB de, Arantes M da S, Toledo CFM, Delbem ACB. MIQP model and improvement heuristic for power loss minimization in distribution system with network reconfiguration [Internet]. Journal of Heuristics. 2020 ; 26 59-81.[citado 2025 nov. 29 ] Available from: https://doi.org/10.1007/s10732-019-09421-0
Artigo de periodico
Very large-scale neighborhood search for the K-constraint multiple knapsack problem (2005)
Ahuja, Ravindra K; Cunha, Cláudio Barbieri da
Source: Journal of Heuristics. Unidade: EP
Subjects: OTIMIZAÇÃO COMBINATÓRIA, ALGORITMOS, HEURÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
AHUJA, Ravindra K e CUNHA, Cláudio Barbieri da. Very large-scale neighborhood search for the K-constraint multiple knapsack problem. Journal of Heuristics, v. 11, n. 5-6, p. 465–481, 2005Tradução . . Disponível em: https://doi.org/10.1007/s10732-005-2634-9. Acesso em: 29 nov. 2025.
APA
Ahuja, R. K., & Cunha, C. B. da. (2005). Very large-scale neighborhood search for the K-constraint multiple knapsack problem. Journal of Heuristics, 11( 5-6), 465–481. doi:10.1007/s10732-005-2634-9
NLM
Ahuja RK, Cunha CB da. Very large-scale neighborhood search for the K-constraint multiple knapsack problem [Internet]. Journal of Heuristics. 2005 ; 11( 5-6): 465–481.[citado 2025 nov. 29 ] Available from: https://doi.org/10.1007/s10732-005-2634-9
Vancouver
Ahuja RK, Cunha CB da. Very large-scale neighborhood search for the K-constraint multiple knapsack problem [Internet]. Journal of Heuristics. 2005 ; 11( 5-6): 465–481.[citado 2025 nov. 29 ] Available from: https://doi.org/10.1007/s10732-005-2634-9

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