Publications

Artigos publicados e aceitos em periódicos

2024

Aguilar, S.; Bastos, S. L. S.; Maçaira, P.; Baião, F.; Simões, P.; Cerbino-Neto, J.; Ranzani, O.; Hamacher, S.; Bozza, F.A. Impact of the first year of COVID-19 vaccination strategy in Brazil: An ecological study. BMJ Open. v. 14 (7), e072314. 2024.

DOI: https://doi.org/10.1136/bmjopen-2023-072314

Andrade, C. E.; Pessoa, L. S.; Stawiarski, S. The Physical Cell Identity Assignment Problem: A Practical Optimization Approach. IEEE Transactions on Evolutionary Computation. v. 28 (2), p. 282 - 292, 9893886. 2024.

DOI: https://doi.org/10.1109/TEVC.2022.3185927

de Aquino Ferreira, S. C.; Maçaira, P. M.; Cyrino Oliveira, F. L. Joint Modeling of Wind Speed and Power via a Nonparametric Approach. Energies. v. 17 (14), 3573. 2024.

DOI: https://doi.org/10.3390/en17143573

Londe, M.A.; Pessoa, L.S.; Andrade, C.E.; Resende, M.G.C. Biased random-key genetic algorithms: A review. European Journal of Operational Research. 2024.

DOI: https://doi.org/10.1016/j.ejor.2024.03.030

Melo, G.; Silva, T.; Ribeiro, R.; Couto, R.; Gusmao, B.; Cyrino Oliveira, F. L.; Maçaira, P.; Fanzeres, B,; Souza, R. C.; Bet. Olavo. Renewable Energy Sources Spatio-Temporal Scenarios Simulation under Influence of Climatic Phenomena. Electrical Power Systems Research. v. 235. 110725. 2024.

DOI: https://doi.org/10.1016/j.epsr.2024.110725

Nguyen, T. D.; Martinelli, R.; Pham, Q. A.; Hà, M. H. The set team orienteering problem. European Journal of Operational Research. p. 1 - 13. 2024.

DOI: https://doi.org/10.1016/j.ejor.2024.09.021

Villar, J.; Maddalena, L.; Camargo, T. A.; Maçaira, P. M.; Baiao, F.; Cyrino Oliveira, F. L. A Statistical Analysis of COVID-19 Mortality Dynamics: Unraveling the Interplay between Vaccination Trends, Socioeconomic Factors, and Government Interventions in Brazilian States. Socio-Economic Planning Sciences. v. 92. 101855. 2024.

DOI: https://doi.org/10.1016/j.seps.2024.101855

2023

Abu-Marrul, V.; Martinelli, R.; Hamacher, S.; Gribkovkaia, I. Simheuristic algorithm for a stochastic parallel machine scheduling problem with periodic re-planning assessment. Annals of Operations Research. v. 320 (2), p. 547 - 572. 2023.

DOI: https://doi.org/10.1007/s10479-022-04534-5

Bravo, R. Z. B.; Cunha, A. P. M. A.; Leiras, A.; Cyrino Oliveira, F. L. DRAI - A Risk-based Drought Monitoring and Alerting System in Brazil. Natural Hazards. v. 117, p. 113 - 142. 2023.

DOI: https://doi.org/10.1007/s11069-023-05852-y

Duca, V. E. A.; Fonseca, T.; Cyrino Oliveira, F. C. An overview of non-Gaussian state-space models for wind speed data. Energy. v. 266. 126436. 2023.

DOI: https://doi.org/10.1016/j.energy.2022.126436

Gueller, N.; Martinelli, R.; Fanzeres, B.; Louzada, D. Optimization of battery swapping stations with heterogeneity, charging degradation and PV-option. Journal of Energy Storage. v. 74. 109509. 2023.

DOI: https://doi.org/10.1016/j.est.2023.109509

Hastenreiter FIlho, H. N.; Peres, I.T.; Maddalena, L. G.; Baião, F.A.; Ranzani, O.T.; Hamacher, S.; Maçaira, P.M.; Bozza, F.A. What we talk about when we talk about COVID-19 vaccination campaign impact: a narrative review. Frontiers in Public Health. v. 11. 1126461. 2023.

DOI: https://doi.org/10.3389/fpubh.2023.1126461

Iung, A. M.; Cyrino Oliveira, F. C. Marcato. A. L. M. A review on modeling variable renewable energy: complementarity and spatial-temporal dependence. Energies. v. 16 (3). 1013. 2023.

DOI: https://doi.org/10.3390/en16031013

Londe, M. A.; Pessoa, L. S.; Andrade, C. E. The P-Next Center Problem with Capacity and Coverage Radius Constraints: Model and Heuristics. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). v. 13838 LNCS, p. 335 - 349.

DOI: https://doi.org/10.1007/978-3-031-26504-4_24

Meira, E.; Lila, M. F.; Cyrino Oliveira, F. L. A novel reconciliation approach for hierarchical electricity consumption forecasting based on resistant regression. Energy. v. 269. 126794. 2023.

DOI: https://doi.org/10.1016/j.energy.2023.126794

Palazzia, R. B.; Maçaira, P.; Meirad, E.; Klotzlea, M. C. Forecasting commodity prices in Brazil through hybrid SSA-complex seasonality models. Production. v. 33. e20220025. 2023.

DOI: https://doi.org/10.1590/0103-6513.20220025

Vilela, J.; Fanzeres, B.; Martinelli, R.; Moreno, R. A Holistic Methodology to Identify Cost-Effective Smooth Routes for Power Transmission Lines. IEEE Transactions on Power Systems. v. 38 (4), p. 3504 - 3513. 2023.

DOI: https://doi.org/10.1109/TPWRS.2022.3207666

Parmentier, A.; Martinelli, R.; Vidal, T. Electric Vehicle Fleets: Scalable Route and Recharge Scheduling Through Column Generation. Transportation Science. v. 57 (3), p. 631 -646. 2023.

DOI: https://doi.org/10.1287/trsc.2023.1199

Pacheco, T.; Martinelli, R.; Subramanian, A. Toffolo, T. A. M.; Vidal, T. Exponential-Size Neighborhoods for the Pickup-and-Delivery Traveling Salesman Problem. Transportation Science. v. 57 (2), p. 463 - 481. 2023.

DOI: https://doi.org/10.1287/trsc.2022.1176

2022

de Aquino Ferreira, S. C.; Cyrino Oliveira, F. L.; Maçaira, P. M. Validation of the representativeness of wind speed time series obtained from reanalysis data for Brazilian territory. Energy. v. 258. 124746. 2022.

DOI: https://doi.org/10.1016/j.energy.2022.124746

Bastos, L. S. L.; Aguilar, S.; Rache, B.; Maçaira, P.; Baião, F.; Cerbino-Neto, J.; Rocha, R.; Hamacher, S.; Ranzani, O. T.; Bozza, F. A. Primary healthcare protects vulnerable populations from inequity in COVID-19 vaccination: An ecological analysis of nationwide data from Brazil. The Lancet Regional Health - Americas. v. 14. 100335. 2022.

DOI: https://doi.org/10.1016/j.lana.2022.100335

Caldas, L.; Martinelli, R.; Rosa, B. Solving a School Bus Routing Problem in Rural Areas: An Application in Brazil. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). v. 13557 LNCS, p. 162 - 176. 2022.

DOI: https://doi.org/10.1007/978-3-031-16579-5_12

Campeau, L. P.; Gamache, M.; Martinelli, R. Integrated optimisation of short- and medium-term planning in underground mines. International Journal of Mining, Reclamation and Environment. v. 36 (4), p. 235 - 253. 2022.

DOI: https://doi.org/10.1080/17480930.2022.2025558

Duca, V. E. A.; Fonseca, T. Cyrino Oliveira, F. C. Joint modelling wind speed and power via Bayesian Dynamical models. Energy. v. 247. 123431. 2022.

DOI: https://doi.org/10.1016/j.energy.2022.123431

Lila, M. F.; Meira, E.; Cyrino Oliveira, F. L. Brazilian unemployment forecast: a robust reconciliation approach using hierarchical data. Socio-Economic Planning Sciences. v. 82. 101298. 2022.

DOI: https://doi.org/10.1016/j.seps.2022.101298

Livi, B. C. B.; Rodrigues, R. W.; Batista, F.; Maçaira, P. Economic Analysis of Offshore Wind Farms: A Brazilian Case Study. IEEE Latin America Transactions. v. 20 (1). p. 32 - 40. 2022.

DOI: https://doi.org/10.1109/TLA.2022.9662171

Londe, M. A.; Andrade, C. E.; Pessoa, L. S. Exact and heuristic approaches for the root sequence index allocation problem. Applied Soft Computing. v. 130. 109634. 2022.

DOI: https://doi.org/10.1016/j.asoc.2022.109634

Mecler, D.; Abu-Marrul, V.; Martinelli, R.; Hoff, A. Iterated greedy algorithms for a complex parallel machine scheduling problem. European Journal of Operational Research. v. 300 (2), p. 545 - 560. 2022.

DOI: https://doi.org/10.1016/j.ejor.2021.08.005

Meira, E.; Cyrino Oliveira, F. L.; Maçaira, P. Forecasting Total Hourly Electricity Consumption in Brazil Through Complex Seasonality Methods. Springer Proceedings in Mathematics and Statistics. v. 391, p. 99 - 114. 2022.

DOI: https://doi.org/10.1007/978-3-031-06862-1_7

Meira, E.; Cyrino Oliveira, F. L.; De Menezes, L. Forecasting natural gas consumption using Bagging and modified regularization techniques. Energy Economics. v. 106. 105760. 2022.

DOI: https://doi.org/10.1016/j.eneco.2021.105760

Oliveira, P. S.; Oliveira, M. T. B; Oliveira, E.; Conceição, L. R.; Junqueira, G. S.; Marcato, A. L. M.; Cyrino Oliveira, F. L. Performance Evaluation of Hydro Generating Units Through the AHP Method. Journal of Control, Automation and Electrical Systems. v. 33 (3), p. 1056 – 1065. 2022.

DOI: https://doi.org/10.1007/s40313-021-00839-1

Peres, I. T.; Hamacher, S.; Cyrino Oliveira, F. L.; Bozza, F. A.; Salluh, J. I. F. Data-driven methodology to predict the ICU length of stay: a multicenter study of 99,492 admissions in 109 Brazilian units. Anaesthesia Critical Care & Pain Medicine. v. 41 (6). 101142. 2022.

DOI: https://doi.org/10.1016/j.accpm.2022.101142

Petropoulos, F.; Apiletti, D.; Assimakopoulos, V.; Babai, M. Z.; Barrow, D. K.; Ben Taieb, S.; Bergmeir, C.; Bessa, R. J.; Bijak, J.; Boylan, J. E.; Browell, J.; Carnevale, C.; Castle, J. L.; Cirillo, P.; Clements, M. P.; Cordeiro, C.; Cyrino Oliveira, F. L.; De Baets, S.; Dokumentov, A.; Ellison, J.; Fiszeder, P.; Franses, P. H.; Frazier, D. T.; Gilliland, M.; Gönül, M. S.; Goodwin, P.; Grossi, L.; Grushka-Cockayne, Y.; Guidolin, M.; Guidolin, M.; Gunter, U.; Guo, X.; Guseo, R.; Harvey, N.; Hendry, D. F.; Hollyman, R.; Januschowski, T.; Jeon, J.; Jose, V. R. R.; Kang, Y.; Koehler, A. B.; Kolassa, S.; Kourentzes, N.; Leva, S.; Li, F.; Litsiou, K.; Makridakis, S.; Martin, G. M.; Martinez, A. B.; Meeran, S.; Modis, T.; Nikolopoulos, K.; Önkal, D.; Paccagnini, A.; Panagiotelis, A.; Panapakidis, I.; Pavía, J. M.; Pedio, M.; Peddregal, D. J.; Pinson, P. Forecasting: theory and practice. International Journal of Forecasting. v. 38 (3), p. 705 - 871. 2022.

DOI: https://doi.org/10.1016/j.ijforecast.2021.11.001

Also: https://forecasting-encyclopedia.com/

Queiroz, E. R. C.; Alves, K.; Cyrino Oliveira, F. L.; Aguiar, E. P. Variable Step-Size evolving Participatory Learning with Kernel Recursive Least Square applied to Gas Prices Forecasting in Brazil. Evolving Systems. v. 13 (2), p. 297 - 307. 2022.

DOI: https://doi.org/10.1007/s12530-021-09388-z

da Rocha, M. V. G.; Alves, K. S. T. R.; Queiroz, E. R. C.; Cyrino Oliveira, F. L.; Hell, M. B.; Aguiar, E. P. Power Transformers Thermal Modeling Based on the Modified Set-Membership evolving Multivariable Gaussian and Variable Step-Size evolving Multivariable Gaussian. Journal of Control, Automation and Electrical Systems. v. 33 (3), p. 1044 – 1055. 2022.

DOI: https://doi.org/10.1007/s40313-021-00865-z

Rodrigues Carvalho Muniz Santos, M.; Pereira de Rezende, C.; Maçaira, P.; Meira, E. The Impact of Electricity Consumption During the COVID-19 Pandemic. Springer Proceedings in Mathematics and Statistics. v. 391. p. 153-169. 2022.

DOI: https://doi.org/10.1007/978-3-031-06862-1_11

de Sousa Oliveira Silva, P.; de Oliveira, M. T. B.; Oliveira, E.; Conceição, L. R.; Junqueira, G. S.; Marcato, A. L. M.; Cyrino Oliveria, F. L. Performance Evaluation of Hydro Generating Units Through the AHP Method. Journal of Control, Automation and Electrical Systems. v. 33 (3), p. 1056 - 1065. 2022.

DOI: https://doi.org/10.1007/s40313-021-00839-1

2021

Abu- Marrul, V.; Martinelli, R.; Hamacher, S. Scheduling pipe laying support vessels with non-anticipatory family setup times and intersections between sets of operations. International Journal of Production Research. v. 59 (22). p. 6833 - 6847. 2021.

DOI: https://doi.org/10.1080/00207543.2020.1828637

Abul-Marrul, V.; Martinelli, R.; Hamacher, S.; Gribkovskaia, I. Matheuristics for a parallel machine scheduling problem with non-anticipatory family setup times: Application in the offshore oil and gas industry. Computers and Operations Research. v. 128. 105162. 2021.

DOI: https://doi.org/10.1016/j.cor.2020.105162

Bastos, B. Q.; Cyrino Oliveira, F. L.; Milidiú, R. L. Componentnet: Processing U- and V-components for spatio-Temporal wind speed forecasting. Electric Power Systems Research. v. 192. 106922. 2021.

DOI: https://doi.org/10.1016/j.epsr.2020.106922

Bastos, B. Q.; Cyrino Oliveira, F. L.; Milidiú, R. L. U-Convolutional model for spatio-temporal wind speed forecasting. International Journal of Forecasting. v. 37 (2). p. 949 - 970. 2021.

DOI: https://doi.org/10.1016/j.ijforecast.2020.10.007

Bravo, R. Z. B.; Cunha, A. P. M. A.; Leiras, A.; Cyrino Oliveira, F. L. A new approach for a drought composite index. Natural Hazards. v. 108 (1). p. 755 - 773. 2021.

DOI: https://doi.org/10.1007/s11069-021-04704-x

Campos Queiroz, E. R.; Teles Rocha Alves, K. S.; Cyrino Oliveira, F. L.; de Aguiar, E. P. Evolving Fuzzy Modeling with Variable Step-Size applied to Gas Prices Forecasting in Brazil. IEEE International Conference on Fuzzy Systems. 171254. 2021.

DOI: https://doi.org/10.1109/FUZZ45933.2021.9494405

Dantas, L. F.; Peres, I. T.; Bastos, L. S. L.; Marchesi, J. F.; de Souza, G. F. G; Gelli, J. G. M.; Baião, F. A.; Maçaira, P.; Hamacher, S.; Bozza, F. A. App-based symptom tracking to optimize SARS-CoV-2 testing strategy using machine learning. PLoS ONE. v. 16 (3). e0248920. 2021.

DOI: https://doi.org/10.1371/journal.pone.0248920

Duca, V. E. L. A.; Fonseca, T. C. O.; Cyrino Oliveira, F. L. A generalized dynamical model for wind speed forecasting. Renewable and Sustainable Energy Reviews. v. 136. 110421. 2021.

DOI: https://doi.org/10.1016/j.rser.2020.110421

Gonçalves da Rocha, M. V.; Hell, M. B.; Rocha Alves, K. S. T.; Cyrino Oliveira, F. L.; Pestana de Aguiar, E. Power Transformers Thermal Modeling using an Enhanced Set-Membership Multivariable Gaussian Evolving Fuzzy System. Electric Power Systems Research. v. 194. 107088. 2021.

DOI: https://doi.org/10.1016/j.epsr.2021.107088

Londe, M. A.; Andrade, C. E.; Pessoa, L. S. An evolutionary approach for the p-next center problem. Expert Systems with Applications. v. 175. 114728. 2021.

DOI: https://doi.org/10.1016/j.eswa.2021.114728

Louzada, L.; Martinelli, R.; Abu-Marrul, V. Solving a Real-Life Tramp Ship Routing and Scheduling Problem with Speed Profiles. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). v. 13004 LNCS. p. 82 - 96. 2021.

DOI: https://doi.org/10.1007/978-3-030-87672-2_6

Meira, E.; Cyrino Oliveira, F. L.; Klötzle, M. C.; Pinto, A. C. F. Dynamic Associations between GDP and Crude Oil Prices in Brazil: Structural Shifts and Nonlinear Causality. Emerging Markets Finance and Trade. v. 57 (10). p. 2767 - 2791. 2021.

DOI: https://doi.org/10.1080/1540496X.2019.1658072

Meira, E.; Cyrino Oliveira, F. L.; Jeon, J. Treating and Pruning: New approaches to forecasting model selection and combination using prediction intervals. International Journal of Forecasting. v. 37 (2). p. 547 - 568. 2021.

DOI: https://doi.org/10.1016/j.ijforecast.2020.07.005

Meira, E.; Cyrino Oliveira, F. L.; de Menezes, L. M. Point and interval forecasting of electricity supply via pruned ensembles. Energy. Energy. v 232. 121009. 2021.

DOI: https://doi.org/10.1016/j.energy.2021.121009

Peres, I. T.; Bastos, L. S. L.; Gelli, J. G. M.; Marchesi, J. F.; Dantas, L. F.; Antunes, B. B. P.; Maçaira, P. M.; Baião, F. A.; Hamacher, S.; Bozza, F. A. Sociodemographic factors associated with COVID-19 in-hospital mortality in Brazil. Public Health. v. 192. p. 15 - 20. 2021.

DOI: https://doi.org/10.1016/j.puhe.2021.01.005

Peres, I. T.; Hamacher, S.; Cyrino Oliveira, F. L.; Bozza, F. A.; Salluh, J. I. F. Prediction of intensive care units length of stay: A concise review. Revista Brasileira de Terapia Intensiva. v. 33 (2). p. 183 - 187. 2021.

DOI: https://doi.org/10.5935/0103-507X.20210025

Sanghikian, N.; Martinelli, R.; Abu-Marrul, V. A Hybrid VNS for the Multi-product Maritime Inventory Routing Problem. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). v. 12559 LNCS. p. 111 - 122. 2021.

DOI: https://doi.org/10.1007/978-3-030-69625-2_9

Valle dos Santos, R. de O.; Araujo, F.; Celso, F.; Accioly, R. M. S.; Cyrino Oliveira, F. L. Horizon-Optimized Weights for Forecast Combination with Cross-Learning. Pesquisa Operacional. v. 41. e245564. 2021.

DOI: https://doi.org/10.1590/0101-7438.2021.041.00245564

Vidal, T.; Martinelli, R.; Pham, T. A.; Hà, M. H. Arc routing with time-dependent travel times and paths. Transportation Science. v. 55 (3), p. 706 - 724. 2021.

DOI: https://doi.org/10.1287/trsc.2020.1035

Villarinho, P. A.; Panadero, J.; Pessoa, L. S.; Juan, A. A.; Cyrino Oliveira, F. L. A simheuristic algorithm for the stochastic permutation flow-shop problem with delivery dates and cumulative payoffs. International Transactions in Operational Research. v. 28 (2), p. 716 - 737. 2021.

DOI: https://doi.org/10.1111/itor.12862

2020

Alves. K.; Hell, M. B.; Cyrino Oliveira, F. L.; Aguiar, E. P. An Enhanced Set-Membership Evolving Participatory Learning With Kernel Recursive Least Squares Applied to Thermal Modeling of Power Transformers. Electric Power Systems Research. v. 184. 106334. 2020.DOI: https://doi.org/10.1016/j.epsr.2020.106334

Antunes, B.; Peres, I.; Baião, F.; Ranzani, O.; Bastos, L.; Silva, A.; Souza, G.; Marchesi, J.; Dantas, L.; Vargas, S.; Maçaira, P. M.; Hamacher, S.; Bozza, F. Progression of confirmed COVID-19 cases after the implementation of control measures. Revista Brasileira de Terapia Intensiva. v. 32(2), p. 213 - 223. 2020.

DOI: https://doi.org/10.5935/0103-507X.20200028

Bastos, Y. B.; Fleck, J. L.; Martinelli, R. A stochastic programming approach for offshore flight scheduling. IFAC-PapersOnLine. v. 53 (4), p. 478 - 484. 2020.

DOI: https://doi.org/10.1016/j.ifacol.2021.04.068

Bertoloto, R. F.; Cyrino Oliveira, F. L. Forecasting Tanker Freight Rate. Springer Proceedings in Business and Economics. p. 403 - 409. 2020.

DOI: https://doi.org/10.1007/978-3-030-23816-2_39

Bravo, R. Z. B.; Leiras, A.; Cyrino Oliveira, F. L. Mitigation and Prevention of Droughts: A Systematic Literature Review. Springer Proceedings in Business and Economics. p. 273 - 281. 2020.

DOI: https://doi.org/10.1007/978-3-030-23816-2_26

Cunha, F. A. F. S.; De Oliveira, E. M.; Orsato, R. J.; Klötzle, M. C. Cyrino Oliveira, F. L.; Caiado, R. Can sustainable investments outperform traditional benchmarks? Evidence from global stock markets. Business Strategy and the Environment. v. 29 (2), p. 682 - 697. 2020.DOI: https://doi.org/10.1002/bse.2397

Cunha, V., Santos, I., Pessoa, L., & Hamacher, S. (2020). An ILS heuristic for the ship scheduling problem: application in the oil industry. International Transactions in Operational Research. v. 27 (1), p. 197 - 218. 2020.

DOI: https://doi.org/10.1111/itor.12610

Diniz, P.; Martinelli, R.; Poggi, M. An efficient matheuristic for the inventory routing problem. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). v. 12176 LNCS, p. 273 - 285. 2020.

DOI: https://doi.org/10.1007/978-3-030-53262-8_23

Hammes, G. A.; Maçaira, P. M.; Cyrino Oliveira, F. L. Data Analytics for the Selection of Wind Turbine Power Curve Models. Springer Proceedings in Business and Economics. p. 37 - 44. 2020.

DOI: https://doi.org/10.1007/978-3-030-23816-2_4

Homsi, G.; Martinelli, R.; Vidal, T.; Fagerholt, K. Industrial and tramp ship routing problems: Closing the gap for real-scale instances. European Journal of Operational Research. v. 283 (3), p. 972 - 990. 2020.

DOI: https://doi.org/10.1016/j.ejor.2019.11.068

Marchesi, J. F.; Hamacher, S.; Cyrino Oliveira, F. L. Improving Operation Rooms and Planning to Reduce Surgery Cancelations and Inpatient Length of Stay. Springer Proceedings in Business and Economics. p. 141 - 150. 2020.

DOI: https://doi.org/10.1007/978-3-030-23816-2_14

Maçaira, P. M.; Elsland, R.; Cyrino Oliveira, F. L.; Souza, R. C.; Fernandes, G.

Forecasting residential electricity consumption: a bottom-up approach for Brazil by region. Energy Efficiency. v. 13 (5). p. 911 - 934. 2020.

DOI: https://doi.org/10.5935/0103-507X.20200030

Martinelli, R.; Collard, J.; Gamache, M. Strategic planning of an underground mine with variable cut-off grades. Optimization and Engineering. v. 21 (3), p. 803 - 849. 2020.

DOI: https://doi.org/10.1007/s11081-019-09479-6

de Oliveira, E. M.; Cunha, F.; Palazzi, R. B.; Klotzle, M. C.; Maçaira, P. M. On the effects of uncertainty measures on sustainability indices: an empirical investigation in a nonlinear framework. International Review of Financial Analysis, v. 70. p. 1-10. 101505. 2020.

DOI: https://doi.org/10.1016/j.irfa.2020.101505

Peres, I. T.; Hamacher, S.; Cyrino Oliveira, F. L.; Thomé, A. M. T.; Bozza, F. A. What factors predict length of stay in the Intensive Care Unit? Systematic Review and Meta-Analysis. Journal of Critical Care. v. 60. p. 183-194. 2020.DOI: https://doi.org/10.1016/j.jcrc.2020.08.003

Prado, M.; Antunes, B.; Bastos, L.; Peres, I.; Silva, A.; Dantas, L.; Baião, F.; Maçaira, P. M.; Hamacher, S.; Bozza, F. Analysis of COVID-19 under-reporting in Brazil. Revista Brasileira de Terapia Intensiva. v. 32 (2). p. 224. 2020.

DOI: http://dx.doi.org/10.5935/0103-507X.20200030

Ramos, A. S.; Cyrino Oliveira, F. L.; de Castro, C. M. B. Quantitative Approaches for Identification of Indicators and Their Relationships in Performance Measurement Systems: A Literature Review. Springer Proceedings in Mathematics and Statistics. v. 337, p. 357 - 365. 2020.

DOI: https://doi.org/10.1007/978-3-030-56920-4_29

Sass, C. A. B; Pimentel, T. C.; Aleixo, M. G. B.; Dantas, T. M.; Cyrino Oliveira, F. L.; Freitas, M. Q.; Cruz, A. G.; Esmerino, E. A. Exploring social media data to understand consumers’ perception of eggs: A multilingual study using Twitter®. Journal of Sensory Studies. v. 35 (6). e12607. 2020.DOI: https://doi.org/10.1111/joss.12607
Soares, E. K. B.; Silva, R.; Silva, W. P.; Kuryia, S. P.; Maçaira, P. M.; Cyrino Oliveira, F. L.; Silva, M. A. A. P.; Pimentel, T. C.; Freitas, M. Q.; Cruz, A. G.; Esmerino, E. A. An intra-cultural investigation in Brazil using Coalho cheese and Preferred Attribute Elicitation. Journal of Sensory Studies. v. 35 (1). e12543. 2020. DOI: https://doi.org/10.1111/joss.12543
de Souza, M. A.; Maçaira, P. M.; Souza, R. C.; Cyrino Oliveira, F. L.; Calili, R. F. Forecasting Electricity Generation of Small Hydropower Plants. Springer Proceedings in Business and Economics. p. 45 - 54. 2020.DOI: https://doi.org/10.1007/978-3-030-23816-2_5

2019

Aguillar, S.; Esteves, G. R. T.; Maçaira, P. M.; Bastos, B. Q.; Cyrino Oliveira, F. L.; Souza, R. C. Wind Power Generation: A Review and Research Agenda. Journal of Cleaner Production. v. 218, p. 850 - 870. 2019.DOI: https://doi.org/10.1016/j.jclepro.2019.02.015
Andrade, C. E. ; Silva, T. ; Pessoa, L. S. Minimizing flowtime in a flowshop scheduling problem with a biased random-key genetic algorithm. Expert Systems with Applications. v. 128, p. 67 - 80. 2019.DOI: https://doi.org/10.1016/j.eswa.2019.03.007
Bravo, R. Z. B.; Leiras, A.; Cyrino Oliveira, F. L. The use of UAVs in humanitarian relief: an application of POMDP-based methodology for finding victims. Production and Operations Management. v. 28 (2), p. 421 - 440. 2019. DOI: https://doi.org/10.1111/poms.12930
Cornejo Sarmiento, M. G.; Epprecht, E. K.; Cyrino Oliveira, F. L.; Rodrigues Junior, A. T. S.; Canchumuni, S. W. A. The use of simulation to model the dispatch of inbound containers in port terminals. Pesquisa Operacional, v. 39 (1), p. 155-175. 2019. DOI: http://dx.doi.org/10.1590/0101-7438.2019.039.01.0155
Costa, L.; Blank, F. F.; Cyrino Oliveira, F. L. Conditional Pricing Model with Heteroscedasticity: Evaluation of Brazilian Funds. RAE-Revista de Administração de Empresas. v. 59 (4), p. 225 - 241. 2019. DOI: https://doi.org/10.1590/S0034-759020190402
Dantas, L. F.; Hamacher, S.; Cyrino Oliveira, F. L.; Barbosa, S. D. J.; Viegas, F. Predicting Patient No-show Behavior: a Study in a Bariatric Clinic. Obesity Surgery. v. 29 (1), p. 40 - 47. 2019.DOI: https://doi.org/10.1007/s11695-018-3480-9
Duca, V. E.; Souza, R.C.; Ferreira, P. G. C.; Cyrino Oliveira, F. L. Simulation of time series using periodic gamma autoregressive models. International Transactions in Operational Research. v. 26 (4), p. 1315 - 1338. 2019. DOI: https://doi.org/10.1111/itor.12593
Esteves, G. R. T.; Maçaira, P. M.; Cyrino Oliveira, F. L.; Amador, G.; Souza, R. C. Improvements in the current Brazil's energy dispatch optimization: Load forecast and wind power. ICORES 2019 - Proceedings of the 8th International Conference on Operations Research and Enterprise Systems. p. 398 - 405. 2019.DOI: https://doi.org/10.5220/0007400103980405

Godinho, G. C.; Maçaira, P. M.; Souza, R. C. Combined forecast model for wind gene ration in brazilian monthly dispatch scheduling. IEEE Latin America Transactions. v. 17 (9), p. 1432 - 1438. 2019.

DOI: https://doi.org/10.1109/TLA.2019.8931136

Huang, X.; Maçaira, P. M.; Hassani, H. Cyrino Oliveira, F. L. Dhesi, G. Hydrological Natural Inflow and Climate Variables: Time and Frequency Causality Analysis. Physica A: Statistical Mechanics and its Applications. v. 516, p. 480 - 495. 2019.

DOI: https://doi.org/10.1016/j.physa.2018.09.079

Maçaira, P. M.; Cyrillo, Y. M.; Cyrino Oliveira, F. L.; Souza, R. C. Including wind power generation in Brazil’s long-term optimization model for energy planning. Energies. v. 12 (5), 826, p. 1 - 20. 2019.

DOI: https://doi.org/10.3390/en12050826

Maçaira, P. M.; de Souza, M. A.; Souza, R. C.; Cyrino Oliveira, F. L. Risk analysis of distributed generation scenarios. ICORES 2019 - Proceedings of the 8th International Conference on Operations Research and Enterprise Systems. p. 378 - 383. 2019.

DOI: https://doi.org/10.5220/0007389203780383

Mareth, T.; Scavarda, L. F.; Thome, A. M. T.; Cyrino Oliveira, F. L.; Wickstrom, T. A. Analysing the determinants of technical efficiency of dairy farms in Brazil. The International Journal of Productivity and Performance Management. v. 68 (2), p. 464 - 481. 2019.DOI: https://doi.org/10.1108/IJPPM-06-2018-0234
Peres, I. T.; Hamacher, S.; Cyrino Oliveira, F. L.; Barbosa, S. D. J.; Viegas, F. Simulation of Appointment Scheduling Policies: a Study in a Bariatric Clinic. Obesity Surgery. v. 29 (9), p. 2824 – 2830. 2019. DOI: https://doi.org/10.1007/s11695-019-03898-1
Sarmiento, M. G. C.; Epprecht, E. K.; Cyrino Oliveira, F. L.; Rodrigues, A. T. S.; Canchumuni, S. W. A. The use of simulation to model the dispatch of inbound containers in port terminals. Pesquisa Operacional. v. 39 (1), p. 155 - 175. 2019.DOI: https://doi.org/10.1590/0101-7438.2019.039.01.0155
Silva, F. L .C.; Cyrino Oliveira, F. L.; Souza, R. C. A bottom-up Bayesian extension for long term electricity consumption forecasting. Energy. v. 167, p. 198 - 210. 2019.DOI: https://doi.org/10.1016/j.energy.2018.10.201

2018

Bulhões, T.; Hà, M. H.; Martinelli, R.; Vidal, T. The vehicle routing problem with service level constraints. European Journal of Operational Research. v. 265 (2), p. 544 - 558. 2018.

DOI: https://doi.org/10.1016/j.ejor.2017.08.027

Cunha, V.; Pessoa, L.; Vellasco, M.; Tanscheit, R.; Pacheco, M. A. A Biased Random-Key Genetic Algorithm for the Rescue Unit Allocation and Scheduling Problem. 2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Proceedings. 8477819. 2018.

DOI: https://doi.org/10.1109/CEC.2018.8477819

Dantas, T. M. ; Cyrino Oliveira, F. L. Improving time series forecasting: An approach combining bootstrap aggregation, clusters and exponential smoothing. International Journal of Forecasting. v. 34 (4), p. 748 - 761. 2018.

DOI: https://doi.org/10.1016/j.ijforecast.2018.05.006

Dantas, L.; Fleck, J. L.; Cyrino Oliveira, F. L.; Hamacher, S. No-shows in Appointment Scheduling - a Systematic Literature Review. Health Policy. v. 122, p. 412 - 421. 2018.

DOI: https://doi.org/10.1016/j.healthpol.2018.02.002

Fontoura, L.; Martinelli, R.; Poggi, M.; Vidal, T. The minimum distance superset problem: formulations and algorithms. Journal of Global Optimization. v. 72 (1), p. 27 - 53. 2018

DOI: https://doi.org/10.1007/s10898-017-0579-9

Haddad, M. N.; Martinelli, R.; Vidal, T.; Martins, S.; Ochi, L. S.; Souza, M. J. F.; Harlt, R. Large neighborhood-based metaheuristic and branch-and-price for the pickup and delivery problem with split loads. European Journal of Operational Research. v. 270 (3), p. 1014 - 1027. 2018.

DOI: https://doi.org/10.1016/j.ejor.2018.04.017

Maçaira, P. M.; Tavares Thome, A. M.; Cyrino Oliveira, F. L.; Carvalho Ferrer, A. L. Time series analysis with explanatory variables: A systematic literature review. Environmental Modelling & Software. v. 107, p. 199 - 209. 2018.

DOI: https://doi.org/10.1016/j.envsoft.2018.06.004

de Oliveira, E. M.; Cyrino Oliveira, F. L. Forecasting mid-long term electric energy consumption through bagging ARIMA and exponential smoothing methods. Energy. v. 144, p. 776 - 788. 2018.

DOI: https://doi.org/10.1016/j.energy.2017.12.049

de Oliveira, E. M.; Cyrino Oliveira, F. L. Padrões de Variabilidade em Vazões Afluentes a Usinas Hidrelétricas e Associações com Massas de Ar. Cadernos do IME. Série Estatística. v. 43, p. 18 - 38. 2018.

DOI: https://doi.org/10.12957/cadest.2017.31363

Pessoa, L. S.; Andrade, C. E. Heuristics for a flowshop scheduling problem with stepwise job objective function. European Journal of Operational Research. v. 266 (3), p. 950 - 962. 2018.

DOI: https://doi.org/10.1016/j.ejor.2017.10.045

Pinto, L. P. F.; Silva, H. L. A.; Kurya, S. P.; Maçaira, P. M.; Cyrino Oliveira, F. L.; Cruz, A. G.; Esmerino, E. A.; Freitas, M. Q. Understanding perceptions and beliefs about different types of fermented milks through the application of projective techniques: A case study using Haire's shopping list and free word association. Journal of Sensory Studies. v. 33, p. e12326. 2018.

DOI: https://doi.org/10.1111/joss.12326

Russo, J. C.; Dias, M. A.; Barreira da Silva Rocha, A.; Cyrino Oliveira, F. L. Renegotiation in Public-Private Partnerships: An Incentive Mechanism Approach. Group Decision and Negotiation. v. 27 (6), p. 949 - 979. 2018.

DOI: https://doi.org/10.1007/s10726-018-9586-6

Silva, F. L .C.; Souza, R. C.; Cyrino Oliveira, F. L.; Lourenço, P. M.; Calili, R. F. A bottom-up methodology for long term electricity consumption forecasting of an industrial sector - Application to pulp and paper sector in Brazil. Energy. v. 144, p. 1107 - 1118. 2018.

DOI: https://doi.org/10.1016/j.energy.2017.12.078

2017

Aguilar Vargas, S.; Castro Souza, R.; Pessanha, J. F. M.; Cyrino Oliveira, F. L. Hybrid methodology for modeling short-term wind power generation using conditional Kernel density estimation and singular spectrum analysis. DYNA (Colombia - Medellín). v. 84 (201), p. 145 - 154. 2017.

DOI: http://dx.doi.org/10.15446/dyna.v84n201.59541

Bastos, B. Q.; Souza, R. C.; Calili, R. F.; Cyrino Oliveira, F. L.; Catenazzi, G.; Jakob, M. Modeling the impact of energy efficiency in the electricity consumption of the Brazilian tertiary sector. International Conference on the European Energy Market, EEM. 7982003. 2017.

DOI: https://doi.org/10.1109/EEM.2017.7982003

Condeixa, L. D.; Bastos, L. S. L.; Cyrino Oliveira, F. L.; Barbosa, S. D. J. Wind speed time series analysis using TBATS decomposition and moving blocks bootstrap. International Journal of Energy and Statistics. v. 5, p. 1750010. 2017.

DOI: https://doi.org/10.1142/S2335680417500107

Dantas, T. M.; Cyrino Oliveira, F. L.; Repolho, H. M. V. Air Transportation Demand Forecast through Bagging Holt Winters methods. Journal of Air Transport Management. v. 59, p. 116 - 123. 2017.

DOI: https://doi.org/10.1016/j.jairtraman.2016.12.006

Maçaira, P. M.; Cyrino Oliveira, F. L.; Ferreira, P. G. C.; Almeida, F. V. N.; Souza, R. C. Introducing a causal PAR(p) model to evaluate the influence of climate variables in reservoir inflows: a Brazilian case. Pesquisa Operacional (Impresso). v. 37, p. 107 - 128. 2017.

DOI: https://doi.org/10.1590/0101-7438.2017.037.01.0107

Mareth, T.; Thome, A. M. T.; Scavarda, L. F.; Cyrino Oliveira, F. L. Technical efficiency in dairy farms. The International Journal of Productivity and Performance Management. v. 66 (3), p. 380 - 404. 2017.

DOI: https://doi.org/10.1108/IJPPM-09-2015-0131

De Oliveira, E. M.; Cunha, F. A. F. S.; Cyrino Oliveira, F. L. Samanez, C. P.. Dynamic relationships between crude oil prices and socially responsible investing in Brazil: evidence for linear and non-linear causality. Applied Economics (Print). v. 49 (22), p. 2125 - 2140. 2017.

DOI: https://doi.org/10.1080/00036846.2016.1234695

Pessoa, L. S.; Santos, Andréa C.; Resende, Mauricio G. C. A biased random-key genetic algorithm for the tree of hubs location problem. Optimization Letters. v. 11 (7), p. 1371 - 1384. 2017.

DOI: https://doi.org/10.1007/s11590-016-1082-9

Peres, I. T.; Repolho, H. M.; Martinelli, R.; Monteiro, N. J. Optimization in inventory-routing problem with planned transshipment: A case study in the retail industry. International Journal of Production Economics. v. 193, p. 748- 756. 2017.

DOI: https://doi.org/10.1016/j.ijpe.2017.09.002

Thome, A. M. T.; Cyrino Oliveira, F. L.; Silva, D. L. Framework de Value Stream Mapping a partir de uma Revisão Sistemática da Literatura. Produto e Produção. v. 17, p. 19 - 40. 2017.

DOI: https://doi.org/10.22456/1983-8026.67249

Russo, J. C.; Samanez, C. P.; Dias, M. A. G.; Cyrino Oliveira, F. L. Concession of the Maracanã complex: Analysis of opportunistic behavior through game theory [Concessão do complexo Maracanã: Análise do comportamento oportunista por meio da teoria dos jogos]. Espacios (Caracas). v. 38 (17), p. 28. 2017.

DOI: not available.

2016

Calili, R. F.; Cyrino Oliveira, F. L. ; Souza, R. C; Araújo, T. G.; Ferreira, P. G. C . Proposal of an empirical method to adjust time series for calendar and temperature effects [Proposta de um método empírico de ajuste de séries temporais influenciadas pelos ofensores calendário e temperatura]. Gestão & Produção. v. 23 (4), p. 787 - 797. 2016.

DOI: https://doi.org/10.1590/0104-530X-1868-15

Esteves, G. R.; Cyrino Oliveira, F. L.; Antunes, C. H.; Souza, R. C. An overview of electricity prepayment experiences and the Brazilian new regulatory framework. Renewable & Sustainable Energy Reviews. v. 54, p. 704 - 722. 2016.

DOI: https://doi.org/10.1016/j.rser.2015.10.002

Esteves, G. R.; Maçaira, P. M.; do Carmo, D. L.; Souza, R. C.; Cyrino Oliveira, F. L.; Calili, R. F. Long-term scenarios development for the electricity tariffs in Brazil. International Conference on the European Energy Market, EEM. 7521241. 2016.

DOI: https://doi.org/10.1109/EEM.2016.7521241

Maçaira, P. M. ; Cyrino Oliveira, F. L. Another look at SSA.Boot forecast accuracy. International Journal of Energy and Statistics. v. 4, p. 1650008. 2016.

DOI: https://doi.org/10.1142/S2335680416500083

Maçaira, P. M.; Souza, R. C.; Cyrino Oliveira, F. L. Forecasting Brazil's electricity consumption with Pegels Exponential Smoothing Techniques. IEEE América Latina. v. 14 (3), p. 1252 - 1258. 2016.

DOI: https://doi.org/10.1109/TLA.2016.7459606

Mareth, T.; Thome, A. M. T.; Cyrino Oliveira, F. L.; Scavarda, L. F. Systematic review and meta-regression analysis of technical efficiency in dairy farms. The International Journal of Productivity and Performance Management. v. 65 (3), p. 279 - 301. 2016.

DOI: https://doi.org/10.1108/IJPPM-02-2015-0027

Torrini, F.; Cyrino Oliveira, F. L.; Souza, R. C; Pessanha, J. F. M. Long term electricity consumption forecast in Brazil: A fuzzy logic approach. Socio-Economic Planning Sciences. v. 54, p. 18 - 27. 2016.

DOI: https://doi.org/10.1016/j.seps.2015.12.002

2015

Bastos, B. Q.; Souza, R. C.; Cyrino Oliveira, F. L. Bottom-up Long-term Forecasting of Brazilian Commercial Class Electricity Consumption: First Results. Procedia Computer Science. v. 55, p. 388 - 394. 2015.

DOI: https://doi.org/10.1016/j.procs.2015.07.088

de Castro, C. M. B.; Marcato, A. L. M.; Souza, R. C.; Silva Junior, I. C.; Cyrino Oliveira, F. L.; Pulinho, T. The generation of synthetic inflows via bootstrap to increase the energy efficiency of long-term hydrothermal dispatches. Electric Power Systems Research. v. 124, p. 33 - 46. 2015.

DOI: https://doi.org/10.1016/j.epsr.2015.02.014

Cyrino Oliveira, F. L.; Souza, R.C. ; Marcato, A. L. M. A time series model for building scenarios trees applied to stochastic optimisation. International Journal of Electrical Power & Energy Systems. v. 67, p. 315 - 323. 2015.

DOI: https://doi.org/10.1016/j.ijepes.2014.11.031

Esteves, G. R. T.; Bastos, B. Q; Cyrino Oliveira, F. L.; Calili, R. F.; Souza. R. C. Long Term Electricity Forecast: A Systematic Review. Procedia Computer Science. v. 55, p. 549 - 558. 2015.

DOI: https://doi.org/10.1016/j.procs.2015.07.041

Ferreira, P. G. C.; Cyrino Oliveira; F. L.; Souza, R. C. The stochastic effects on the Brazilian Electrical Sector. Energy Economics. v. 49, p. 328 - 335. 2015.

DOI: https://doi.org/10.1016/j.eneco.2015.03.004

Maçaira, P. M; Cyrino Oliveira, F. L; Souza, R. C. Forecasting natural inflow energy series with multi-channel singular spectrum analysis and bootstrap techniques. International Journal of Energy and Statistics, v. 3, p. 1550005. 2015.

DOI: https://doi.org/10.1142/S2335680415500052

Maçaira, P. M.; Souza, R. C.; Cyrino Oliveira, F. L. Modelling and Forecasting the Residential Electricity Consumption in Brazil with Pegels Exponential Smoothing Techniques. Procedia Computer Science. v. 55, p. 328 - 335. 2015. DOI: https://doi.org/10.1016/j.procs.2015.07.057

Martinelli, R.; Contardo, C. Exact and heuristic algorithms for capacitated vehicle routing problems with quadratic costs structure. INFORMS Journal on Computing. v. 27 (4), p. 658 - 676. 2015.

DOI: https://doi.org/10.1287/ijoc.2015.0649

Pessanha, J. F. M.; Cyrino Oliveira, F. L.; Souza, R. C. Teaching Statistical Methods in Engineering Courses Through Wind Power Data. Revista de Ensino de Engenharia. v. 34, p. 85 - 92. 2015.

DOI: https://doi.org/10.52041/SRAP.15116

da Silva, F. L. C.; Souza, R. C.; Cyrino Oliveira, F. L.; Lourenço, P. M.; Fagundes, W. C. Forecast of Long-term Electricity Consumption of the Industrial Sub-sector of Pulp and Paper in Brazil Using a Bottom-up Approach. Procedia Computer Science, v. 55, p. 514 -522. 2015.

DOI: https://doi.org/10.1016/j.procs.2015.07.028

2014

Contardo, C.; Martinelli, R. A new exact algorithm for the multi-depot vehicle routing problem under capacity and route length constraints. Discrete Optimization. v. 12 (1), p. 129 - 146. 2014.

DOI: https://doi.org/10.1016/j.disopt.2014.03.001

Cyrino Oliveira, F. L.; Costa Ferreira, P. G.; Castro Souza, R. A parsimonious bootstrap method to model natural inflow energy series. Mathematical Problems in Engineering. 158689. 2014.

DOI: https://doi.org/10.1155/2014/158689

Grasas, A.; Ramalhinho, H.; Pessoa, L. S.; Resende, M.; Caballé, I.; Barba, N. On the improvement of blood sample collection at clinical laboratories. BMC Health Services Research. v. 14. 12. 2014.

DOI: https://doi.org/10.1186/1472-6963-14-12

Martinelli, R.; Pecin, D.; Poggi, M. Efficient elementary and restricted non-elementary route pricing. European Journal of Operational Research. v. 239 (1), p. 102 - 111. 2014.

DOI: https://doi.org/10.1016/j.ejor.2014.05.005

2013

Martinelli, R.; Poggi, M.; Subramanian, A. Improved bounds for large scale capacitated arc routing problem. Computers and Operations Research. v. 40 (8), p. 2145 - 2160. 2013.

DOI: https://doi.org/10.1016/j.cor.2013.02.013

Pessoa, L. S.; Resende, M. G. C.; Ribeiro, C. C. A hybrid Lagrangean heuristic with GRASP and path-relinking for set k-covering. Computers and Operations Research. v. 40 (12), p. 3132 - 3146. 2013.

DOI: https://doi.org/10.1016/j.cor.2011.11.018

Souza, R. C.; Pessanha, J. F. M.; Cyrino Oliveira, F. L. A residential consumer payment capability index based on fuzzy logic inference. Journal of Intelligent and Fuzzy Systems. v. 25 (3), p. 649 - 657. 2013.

DOI: https://doi.org/10.3233/IFS-120672

2012

Souza, R. C.; Marcato, A. L, M.; Dias, B. H.; Oliveira, F. L. C. Optimal Operation of Hydrothermal Systems with Hydrological Scenario Generation through Bootstrap and Periodic Autoregressive Models. European Journal of Operational Research. v. 222, p. 606 - 615. 2012.

DOI: https://doi.org/10.1016/j.ejor.2012.05.020

2011

Cyrino Oliveira, F. L.; Souza, R. C. A new approach to identify the structural order of par (p) models. Pesquisa Operacional. v. 31 (3), p. 487 - 498. 2011.

DOI: https://doi.org/10.1590/S0101-74382011000300005

Martinelli, R.; Pecin, D.; Poggi, M.; Longo, H. A branch-cut-and-price algorithm for the capacitated arc routing problem. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). v. 6630 LNCS, p. 315 - 326. 2011.

DOI: https://doi.org/10.1007/978-3-642-20662-7_27

Pessoa, L. S.; Resende, M. G. C. ; Ribeiro, C. C. Experiments with LAGRASP heuristic for set k-covering. Optimization Letters (Print). v. 5 (3), p. 407 - 419. 2011.

DOI: https://doi.org/10.1007/s11590-011-0312-4

2005

Leitão, H. C. G.; Pessoa, L. S.; Stolfi, J. Mutual information content of homologous DNA sequences. Genetics and molecular research : GMR. v. 4 (3), p. 553 - 562. 2005.

DOI: not available.

Page updated

Google Sites

Report abuse