Mario Levorato

Orcid: 0000-0002-0095-0319

Affiliations:
  • Petrobras, Operations Research and Data Science Division, Rio de Janeiro, Brazil


According to our database1, Mario Levorato authored at least 10 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2024
Efficient solutions to the m-machine robust flow shop under budgeted uncertainty.
Ann. Oper. Res., July, 2024

2023
Robust permutation flow shop total weighted completion time problem: Solution and application to the oil and gas industry.
Comput. Oper. Res., 2023

2022
Robust microgrid energy trading and scheduling under budgeted uncertainty.
Expert Syst. Appl., October, 2022

Scheduling optimization applied to the electricity, oil and gas industries. (Optimisation de l'ordonnancement appliquée à l'industrie du pétrole / Otimização de agendamento aplicada às indústrias de eletricidade, petróleo e gás).
PhD thesis, 2022

Exact solutions for the two-machine robust flow shop with budgeted uncertainty.
Eur. J. Oper. Res., 2022

2017
Erratum to: Evaluating balancing on social networks through the efficient solution of correlation clustering problems.
EURO J. Comput. Optim., 2017

Evaluating balancing on social networks through the efficient solution of correlation clustering problems.
EURO J. Comput. Optim., 2017

2016
Brazilian Congress structural balance analysis.
CoRR, 2016

2015
An ILS algorithm to evaluate structural balance in signed social networks.
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

2013
Efficient Solution of the Correlation Clustering Problem: An Application to Structural Balance.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2013 Workshops, 2013


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