A new local search adaptive genetic algorithm for the pseudo-coloring problem (2020)
- Authors:
- Autor USP: CONTRERAS, RODRIGO COLNAGO - ICMC
- Unidade: ICMC
- DOI: 10.1007/978-3-030-53956-6_31
- Subjects: ALGORITMOS GENÉTICOS; VISUALIZAÇÃO; PROCESSAMENTO DE IMAGENS
- Keywords: Local search; Adaptive operator; Pseudo-coloring problem
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Lecture Notes in Computer Science
- ISSN: 0302-9743
- Volume/Número/Paginação/Ano: v. 12145, p. 349-361, 2020
- Conference titles: International Conference on Swarm Intelligence - ICSI
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: bronze
-
ABNT
CONTRERAS, Rodrigo Colnago e MORANDIN JUNIOR, Orides e VIANA, Monique Simplicio. A new local search adaptive genetic algorithm for the pseudo-coloring problem. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-53956-6_31. Acesso em: 24 abr. 2024. , 2020 -
APA
Contreras, R. C., Morandin Junior, O., & Viana, M. S. (2020). A new local search adaptive genetic algorithm for the pseudo-coloring problem. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-53956-6_31 -
NLM
Contreras RC, Morandin Junior O, Viana MS. A new local search adaptive genetic algorithm for the pseudo-coloring problem [Internet]. Lecture Notes in Computer Science. 2020 ; 12145 349-361.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1007/978-3-030-53956-6_31 -
Vancouver
Contreras RC, Morandin Junior O, Viana MS. A new local search adaptive genetic algorithm for the pseudo-coloring problem [Internet]. Lecture Notes in Computer Science. 2020 ; 12145 349-361.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1007/978-3-030-53956-6_31 - An improved local search genetic algorithm with multi-crossover for job shop scheduling problem
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Informações sobre o DOI: 10.1007/978-3-030-53956-6_31 (Fonte: oaDOI API)
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