A modified genetic algorithm with local search strategies and multi-crossover operator for Job Shop Scheduling Problem (2020)
- Authors:
- Autor USP: CONTRERAS, RODRIGO COLNAGO - ICMC
- Unidade: ICMC
- DOI: 10.3390/s20185440
- Subjects: ALGORITMOS GENÉTICOS; OTIMIZAÇÃO COMBINATÓRIA; SCHEDULING
- Keywords: genetic algorithm; local search; multi-crossover; job shop scheduling problem; combinatorial optimization
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- Language: Inglês
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- Source:
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- Este artigo é de acesso aberto
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- Cor do Acesso Aberto: gold
- Licença: cc-by
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ABNT
VIANA, Monique Simplicio e MORANDIN JUNIOR, Orides e CONTRERAS, Rodrigo Colnago. A modified genetic algorithm with local search strategies and multi-crossover operator for Job Shop Scheduling Problem. Sensors, v. 20, n. 18, p. Se 2020, 2020Tradução . . Disponível em: https://doi.org/10.3390/s20185440. Acesso em: 28 dez. 2025. -
APA
Viana, M. S., Morandin Junior, O., & Contreras, R. C. (2020). A modified genetic algorithm with local search strategies and multi-crossover operator for Job Shop Scheduling Problem. Sensors, 20( 18), Se 2020. doi:10.3390/s20185440 -
NLM
Viana MS, Morandin Junior O, Contreras RC. A modified genetic algorithm with local search strategies and multi-crossover operator for Job Shop Scheduling Problem [Internet]. Sensors. 2020 ; 20( 18): Se 2020.[citado 2025 dez. 28 ] Available from: https://doi.org/10.3390/s20185440 -
Vancouver
Viana MS, Morandin Junior O, Contreras RC. A modified genetic algorithm with local search strategies and multi-crossover operator for Job Shop Scheduling Problem [Internet]. Sensors. 2020 ; 20( 18): Se 2020.[citado 2025 dez. 28 ] Available from: https://doi.org/10.3390/s20185440 - CWT x DWT x DTWT x SDTWT: clarifying terminologies and roles of different types of wavelet transforms
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Informações sobre o DOI: 10.3390/s20185440 (Fonte: oaDOI API)
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