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  • Artigo de periodico

    A new frequency analysis operator for population improvement in genetic algorithms to solve the job shop scheduling problem (2022)

    Viana, Monique Simplicio ; Contreras, Rodrigo Colnago ; Morandin Junior, Orides

    Fonte: Sensors. Unidade: ICMC

    Assuntos: ALGORITMOS GENÉTICOS, OTIMIZAÇÃO COMBINATÓRIA

    Versão PublicadaAcesso à fonteDOIComo citar
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    • ABNT

      VIANA, Monique Simplicio e CONTRERAS, Rodrigo Colnago e MORANDIN JUNIOR, Orides. A new frequency analysis operator for population improvement in genetic algorithms to solve the job shop scheduling problem. Sensors, v. 22, p. 1-26, 2022Tradução . . Disponível em: https://doi.org/10.3390/s22124561. Acesso em: 10 nov. 2025.

    • APA

      Viana, M. S., Contreras, R. C., & Morandin Junior, O. (2022). A new frequency analysis operator for population improvement in genetic algorithms to solve the job shop scheduling problem. Sensors, 22, 1-26. doi:10.3390/s22124561

    • NLM

      Viana MS, Contreras RC, Morandin Junior O. A new frequency analysis operator for population improvement in genetic algorithms to solve the job shop scheduling problem [Internet]. Sensors. 2022 ; 22 1-26.[citado 2025 nov. 10 ] Available from: https://doi.org/10.3390/s22124561

    • Vancouver

      Viana MS, Contreras RC, Morandin Junior O. A new frequency analysis operator for population improvement in genetic algorithms to solve the job shop scheduling problem [Internet]. Sensors. 2022 ; 22 1-26.[citado 2025 nov. 10 ] Available from: https://doi.org/10.3390/s22124561

  • Artigo de periodico

    vis–NIR and XRF Data Fusion and Feature Selection to Estimate Potentially Toxic Elements in Soil (2021)

    Gholizadeh, Asa ; Coblinski, João A ; Saberioon, Mohammadmehdi ; Ben-Dor, Eyal ; Drábek, Ondřej ; Demattê, José Alexandre Melo ; Borůvka, Luboš ; Němeček, Karel ; Chabrillat, Sabine ; Dajčl, Julie

    Fonte: Sensors. Unidade: ESALQ

    Assuntos: ALGORITMOS GENÉTICOS, CONTAMINAÇÃO DO SOLO, ESPECTROSCOPIA INFRAVERMELHA, FLUORESCÊNCIA, RAIOS X, TOXICIDADE DO SOLO

    Acesso à fonteDOIComo citar
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    • ABNT

      GHOLIZADEH, Asa et al. vis–NIR and XRF Data Fusion and Feature Selection to Estimate Potentially Toxic Elements in Soil. Sensors, v. 21, n. 2386, p. 1-18, 2021Tradução . . Disponível em: https://doi.org/10.3390/s21072386. Acesso em: 10 nov. 2025.

    • APA

      Gholizadeh, A., Coblinski, J. A., Saberioon, M., Ben-Dor, E., Drábek, O., Demattê, J. A. M., et al. (2021). vis–NIR and XRF Data Fusion and Feature Selection to Estimate Potentially Toxic Elements in Soil. Sensors, 21( 2386), 1-18. doi:10.3390/s21072386

    • NLM

      Gholizadeh A, Coblinski JA, Saberioon M, Ben-Dor E, Drábek O, Demattê JAM, Borůvka L, Němeček K, Chabrillat S, Dajčl J. vis–NIR and XRF Data Fusion and Feature Selection to Estimate Potentially Toxic Elements in Soil [Internet]. Sensors. 2021 ; 21( 2386): 1-18.[citado 2025 nov. 10 ] Available from: https://doi.org/10.3390/s21072386

    • Vancouver

      Gholizadeh A, Coblinski JA, Saberioon M, Ben-Dor E, Drábek O, Demattê JAM, Borůvka L, Němeček K, Chabrillat S, Dajčl J. vis–NIR and XRF Data Fusion and Feature Selection to Estimate Potentially Toxic Elements in Soil [Internet]. Sensors. 2021 ; 21( 2386): 1-18.[citado 2025 nov. 10 ] Available from: https://doi.org/10.3390/s21072386

  • Artigo de periodico

    A modified genetic algorithm with local search strategies and multi-crossover operator for Job Shop Scheduling Problem (2020)

    Viana, Monique Simplicio ; Morandin Junior, Orides ; Contreras, Rodrigo Colnago

    Fonte: Sensors. Unidade: ICMC

    Assuntos: ALGORITMOS GENÉTICOS, OTIMIZAÇÃO COMBINATÓRIA, SCHEDULING

    Versão PublicadaAcesso à fonteDOIComo citar
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • 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: 10 nov. 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 nov. 10 ] 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 nov. 10 ] Available from: https://doi.org/10.3390/s20185440

  • Artigo de periodico

    Enhancing the sensor node localization algorithm based on improved DV-Hop and DE algorithms in wireless sensor networks (2020)

    Han, Dezhi ; Yu, Yunping; Li, Kuan-Ching ; Mello, Rodrigo Fernandes de

    Fonte: Sensors. Unidade: ICMC

    Assuntos: WIRELESS, ALGORITMOS GENÉTICOS

    Versão PublicadaAcesso à fonteDOIComo citar
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      HAN, Dezhi et al. Enhancing the sensor node localization algorithm based on improved DV-Hop and DE algorithms in wireless sensor networks. Sensors, v. 20, p. 1-24, 2020Tradução . . Disponível em: https://doi.org/10.3390/s20020343. Acesso em: 10 nov. 2025.

    • APA

      Han, D., Yu, Y., Li, K. -C., & Mello, R. F. de. (2020). Enhancing the sensor node localization algorithm based on improved DV-Hop and DE algorithms in wireless sensor networks. Sensors, 20, 1-24. doi:10.3390/s20020343

    • NLM

      Han D, Yu Y, Li K-C, Mello RF de. Enhancing the sensor node localization algorithm based on improved DV-Hop and DE algorithms in wireless sensor networks [Internet]. Sensors. 2020 ; 20 1-24.[citado 2025 nov. 10 ] Available from: https://doi.org/10.3390/s20020343

    • Vancouver

      Han D, Yu Y, Li K-C, Mello RF de. Enhancing the sensor node localization algorithm based on improved DV-Hop and DE algorithms in wireless sensor networks [Internet]. Sensors. 2020 ; 20 1-24.[citado 2025 nov. 10 ] Available from: https://doi.org/10.3390/s20020343
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