A simulation-based evolutionary multiobjective approach to manufacturing cell formation AR Pitombeira Neto, EV Gonçalves Filho Computers & Industrial Engineering 59 (1), 64-74, 2010 | 69 | 2010 |
An integer linear programming model for the multiperiod production planning of precast concrete beams B de Athayde Prata, AR Pitombeira-Neto, CJ de Moraes Sales Journal of Construction Engineering and Management 141 (10), 04015029, 2015 | 42 | 2015 |
A matheuristic algorithm for the one-dimensional cutting stock and scheduling problem with heterogeneous orders AR Pitombeira-Neto, BA Prata Top 28 (1), 178-192, 2020 | 24 | 2020 |
Heuristic algorithms for scheduling hybrid flow shops with machine blocking and setup times JV MOCCELLIN, MS NAGANO, AR PITOMBEIRA-NETO, BA PRATA Journal of the Brazilian Society of Mechanical Sciences and Engineering 40, 1-11, 2018 | 23 | 2018 |
A dynamic hierarchical Bayesian model for the estimation of day-to-day origin-destination flows in transportation networks AR Pitombeira-Neto, CFG Loureiro, LE Carvalho Networks and Spatial Economics 20, 499-527, 2020 | 18 | 2020 |
Statistical models for the estimation of the origin-destination matrix from traffic counts AR Pitombeira Neto, FM Oliveira Neto, CFG Loureiro Transportes 25 (4), 2017 | 18 | 2017 |
A genetic algorithm integrated with Monte Carlo simulation for the field layout design problem LPA Sales, AR Pitombeira-Neto, B de Athayde Prata Oil & Gas Sciences and Technology–Revue d’IFP Energies nouvelles 73, 24, 2018 | 14 | 2018 |
A reinforcement learning approach to the stochastic cutting stock problem AR Pitombeira-Neto, AHF Murta EURO Journal on Computational Optimization 10, 2022 | 12 | 2022 |
A dynamic linear model for the estimation of time‐varying origin–destination matrices from link counts AR Pitombeira‐Neto, CFG Loureiro Journal of Advanced Transportation 50 (8), 2116-2129, 2016 | 12 | 2016 |
Comparison of the performance of different wind speed distribution models applied to onshore and offshore wind speed data in the Northeast Brazil DR LINS, KS GUEDES, AR PITOMBEIRA-NETO, PAC ROCHA, ... Energy 278, 2023 | 9 | 2023 |
Simulation of tank truck loading operations in a fuel distribution terminal AN Reis, AR Pitombeira-Neto, GA Rolim Int. J. Simul. Model 16, 435-447, 2017 | 9 | 2017 |
Bayesian inference on dynamic linear models of day-to-day origin-destination flows in transportation networks AR Pitombeira-Neto, CFG Loureiro, LE Carvalho Urban Science 2 (4), 117, 2018 | 8 | 2018 |
Discussão conceitual sobre métodos de reconstrução de matrizes origem-destino estáticas em redes de transportes FMO Neto, ARP Neto, CFG Loureiro, BV Bertoncini Transportes 24 (1), 107-119, 2016 | 6 | 2016 |
Heterogeneous prestressed precast beams multiperiod production planning problem: modeling and solution methods KAG Araújo, TO Bonates, BA Prata, AR Pitombeira-Neto Top 29, 660-693, 2021 | 5 | 2021 |
Eficiência dos servicos de segurança pública no Brasil: uma análise por envoltória de dados. IS Almeida, ARP Neto Revista Exacta 18 (3), 540-561, 2020 | 4 | 2020 |
Trajectory modeling via random utility inverse reinforcement learning AR Pitombeira-Neto, HP Santos, TLC da Silva, JAF de Macedo Information Sciences 660, 120128, 2024 | 3 | 2024 |
Hybrid flow shop scheduling problem with machine blocking, setup times and unrelated parallel machines per stage R Pessoa, I Maciel, J Moccellin, A Pitombeira-Neto, B Prata Investigacion Operacional, 2021 | 3 | 2021 |
Dynamic bayesian statistical models for the estimation of the origin-destination matrix AR Pitombeira Neto | 3 | 2015 |
Abordagem Bayesiana na Estimação de Matrizes Origem-Destino Sintéticas em Redes de Transportes AR Pitombeira Neto, BV Bertoncini, CFG Loureiro XXV ANPET - Congresso de Ensino e Pesquisa em Transportes, 2011 | 3 | 2011 |
Route Sequence Prediction through Inverse Reinforcement Learning AR Pitombeira-Neto Technical Proceedings of the 2021 Amazon Last Mile Routing Research Challenge, 2021 | 2 | 2021 |