关注
Anselmo Ramalho Pitombeira-Neto
Anselmo Ramalho Pitombeira-Neto
Department of Industrial Engineering, Federal University of Ceará
在 ufc.br 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
A simulation-based evolutionary multiobjective approach to manufacturing cell formation
AR Pitombeira Neto, EV Gonçalves Filho
Computers & Industrial Engineering 59 (1), 64-74, 2010
702010
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
432015
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
252020
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
232018
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
192017
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
182020
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
172018
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
122023
A reinforcement learning approach to the stochastic cutting stock problem
AR Pitombeira-Neto, AHF Murta
EURO Journal on Computational Optimization 10, 2022
122022
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
122016
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
92018
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
92017
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
62016
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
52021
Trajectory modeling via random utility inverse reinforcement learning
AR Pitombeira-Neto, HP Santos, TLC da Silva, JAF de Macedo
Information Sciences 660, 120128, 2024
42024
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
42020
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
32021
Dynamic bayesian statistical models for the estimation of the origin-destination matrix
AR Pitombeira Neto
32015
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
32011
Route Sequence Prediction through Inverse Reinforcement Learning
AR Pitombeira-Neto
Technical Proceedings of the 2021 Amazon Last Mile Routing Research Challenge, 2021
22021
系统目前无法执行此操作,请稍后再试。
文章 1–20