An improved local search genetic algorithm with multi-crossover for job shop scheduling problem (2020)
- Authors:
- Autor USP: CONTRERAS, RODRIGO COLNAGO - ICMC
- Unidade: ICMC
- DOI: 10.1007/978-3-030-61401-0_43
- Subjects: ALGORITMOS GENÉTICOS; OTIMIZAÇÃO COMBINATÓRIA; HEURÍSTICA
- Keywords: Local search; Multi-crossover; Job Shop Scheduling Problem
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Lecture Notes in Artificial Intelligence
- ISSN: 0302-9743
- Volume/Número/Paginação/Ano: v. 12415, p. 464-479, 2020
- Conference titles: International Conference on Artificial Intelligence and Soft Computing - ICAISC
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
VIANA, Monique Simplicio e MORANDIN JUNIOR, Orides e CONTRERAS, Rodrigo Colnago. An improved local search genetic algorithm with multi-crossover for job shop scheduling problem. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-61401-0_43. Acesso em: 10 fev. 2026. , 2020 -
APA
Viana, M. S., Morandin Junior, O., & Contreras, R. C. (2020). An improved local search genetic algorithm with multi-crossover for job shop scheduling problem. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-61401-0_43 -
NLM
Viana MS, Morandin Junior O, Contreras RC. An improved local search genetic algorithm with multi-crossover for job shop scheduling problem [Internet]. Lecture Notes in Artificial Intelligence. 2020 ; 12415 464-479.[citado 2026 fev. 10 ] Available from: https://doi.org/10.1007/978-3-030-61401-0_43 -
Vancouver
Viana MS, Morandin Junior O, Contreras RC. An improved local search genetic algorithm with multi-crossover for job shop scheduling problem [Internet]. Lecture Notes in Artificial Intelligence. 2020 ; 12415 464-479.[citado 2026 fev. 10 ] Available from: https://doi.org/10.1007/978-3-030-61401-0_43 - Predição e análise visual de conjuntos de redes de conexões entre sinais suaves: aplicações em dados médicos de AVC
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Informações sobre o DOI: 10.1007/978-3-030-61401-0_43 (Fonte: oaDOI API)
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