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Artigo de periodico
A new evolutionary clustering search for a no-wait flow shop problem with set-up times (2012)
Nagano, Marcelo Seido ; Silva, Augusto Almeida da; Lorena, Luiz Antonio Nogueira
Source: Engineering Applications of Artificial Intelligence. Unidade: EESC
Subjects: CLUSTERS, ALGORITMOS GENÉTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NAGANO, Marcelo Seido e SILVA, Augusto Almeida da e LORENA, Luiz Antonio Nogueira. A new evolutionary clustering search for a no-wait flow shop problem with set-up times. Engineering Applications of Artificial Intelligence, v. 25, p. 1114-1120, 2012Tradução . . Disponível em: https://doi.org/10.1016/j.engappai.2012.05.017. Acesso em: 27 nov. 2025.
APA
Nagano, M. S., Silva, A. A. da, & Lorena, L. A. N. (2012). A new evolutionary clustering search for a no-wait flow shop problem with set-up times. Engineering Applications of Artificial Intelligence, 25, 1114-1120. doi:10.1016/j.engappai.2012.05.017
NLM
Nagano MS, Silva AA da, Lorena LAN. A new evolutionary clustering search for a no-wait flow shop problem with set-up times [Internet]. Engineering Applications of Artificial Intelligence. 2012 ; 25 1114-1120.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.engappai.2012.05.017
Vancouver
Nagano MS, Silva AA da, Lorena LAN. A new evolutionary clustering search for a no-wait flow shop problem with set-up times [Internet]. Engineering Applications of Artificial Intelligence. 2012 ; 25 1114-1120.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.engappai.2012.05.017
Artigo de periodico
Using a modified genetic algorithm to minimize the production costs for slabs of precast prestressed concrete joists (2007)
Castilho, Vanessa Cristina de; El Debs, Mounir Khalil ; Nicoletti, Maria do Carmo
Source: Engineering Applications of Artificial Intelligence. Unidade: EESC
Subjects: CONCRETO PROTENDIDO, ALGORITMOS GENÉTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CASTILHO, Vanessa Cristina de e EL DEBS, Mounir Khalil e NICOLETTI, Maria do Carmo. Using a modified genetic algorithm to minimize the production costs for slabs of precast prestressed concrete joists. Engineering Applications of Artificial Intelligence, v. 20, n. 4, p. 519-530, 2007Tradução . . Disponível em: https://doi.org/10.1016/j.engappai.2006.09.003. Acesso em: 27 nov. 2025.
APA
Castilho, V. C. de, El Debs, M. K., & Nicoletti, M. do C. (2007). Using a modified genetic algorithm to minimize the production costs for slabs of precast prestressed concrete joists. Engineering Applications of Artificial Intelligence, 20( 4), 519-530. doi:10.1016/j.engappai.2006.09.003
NLM
Castilho VC de, El Debs MK, Nicoletti M do C. Using a modified genetic algorithm to minimize the production costs for slabs of precast prestressed concrete joists [Internet]. Engineering Applications of Artificial Intelligence. 2007 ; 20( 4): 519-530.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.engappai.2006.09.003
Vancouver
Castilho VC de, El Debs MK, Nicoletti M do C. Using a modified genetic algorithm to minimize the production costs for slabs of precast prestressed concrete joists [Internet]. Engineering Applications of Artificial Intelligence. 2007 ; 20( 4): 519-530.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.engappai.2006.09.003
Artigo de periodico
Multi-objective genetic algorithms: a way to improve the convergence rate (2006)
Augusto, Oscar Brito; Rabeau, S; Dépincé; Bennis, F
Source: Engineering Applications of Artificial Intelligence. Unidade: EP
Subjects: ALGORITMOS GENÉTICOS, PARETO OTIMALIDADE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
AUGUSTO, Oscar Brito et al. Multi-objective genetic algorithms: a way to improve the convergence rate. Engineering Applications of Artificial Intelligence, v. 19, p. 501-510, 2006Tradução . . Disponível em: https://doi.org/10.1016/j.engappai.2006.01.010. Acesso em: 27 nov. 2025.
APA
Augusto, O. B., Rabeau, S., Dépincé,, & Bennis, F. (2006). Multi-objective genetic algorithms: a way to improve the convergence rate. Engineering Applications of Artificial Intelligence, 19, 501-510. doi:10.1016/j.engappai.2006.01.010
NLM
Augusto OB, Rabeau S, Dépincé, Bennis F. Multi-objective genetic algorithms: a way to improve the convergence rate [Internet]. Engineering Applications of Artificial Intelligence. 2006 ;19 501-510.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.engappai.2006.01.010
Vancouver
Augusto OB, Rabeau S, Dépincé, Bennis F. Multi-objective genetic algorithms: a way to improve the convergence rate [Internet]. Engineering Applications of Artificial Intelligence. 2006 ;19 501-510.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.engappai.2006.01.010

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