The OPL Laboratory develops theoretical and applied research projects bringing together artificial intelligence and operations research.

About the OPL

The OPL Laboratory is affiliated with the Industrial Engineering Department of the Federal University of Ceará - UFC and led by professor Anselmo R. Pitombeira Neto

The laboratory carries out research projects with an emphasis on mathematical and computational modeling of production, logistics, transportation, energy and healthcare problems, using techniques of mathematical optimization, machine learning, artificial intelligence and stochastic simulation.

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Recent Posts

A deep reinforcement learning approach for the asynchronous dynamic vehicle dispatching problem

How can we assign vehicles to requests in real time, the instant a call arrives or a vehicle becomes free? We model this asynchronous …

Anselmo R. Pitombeira Neto

Jul 2026 12 min read

Job shop with minimization of total schedule duration (makespan) - solution using the CP Optimizer solver

Levi R. Abreu

Jun 2024 7 min read

Modeling and solving the Traveling Salesman Problem with Python and Pyomo

Claudemir Woche V. C.

Feb 2020 8 min read

Introdução ao Numerical Python (Numpy)

Anselmo R. Pitombeira Neto

Jan 2020 13 min read

Research Areas

Artificial Intelligence and Machine Learning

Combinatorial Optimization

Modelling and simulatiom of logistic and transportation systems

People

Director

Anselmo R. Pitombeira Neto

Associate Professor

Affiliate Researchers

Levi R. Abreu

Department of Industrial Engineering

Tibérius O. Bonates

Department of Statistics and Applied Mathematics

Breno B.T. do Carmo

Department of Industrial Engineering

Gabrielli H. Yamashita

Department of Industrial Engineering

Graduate Students

Diego França

PhD Student in Modeling and Quantitative Methods

Matheus Nascimento

MSc Student in Modeling and Quantitative Methods

Undergraduate Students

Helano P. Santos

Industrial Mathematics

J. Candido Brito Neto

Industrial Engineering

Daniel Ferreira

Undergraduate Research Assistant

Ícaro S. Rodrigues

Industrial Mathematics

Michael B. Chaves

Industrial Engineering

Research Collaboration

Luis E. Carvalho

Department of Mathematics and Statistics, Boston University

Marcelo S. Nagano

Operations Research, University of São Paulo

Alumni

Arthur H. F. Murta

Reinforcement learning

Claudemir Woche V. C.

Industrial Mathematics

Gustavo A. Rolim

PhD Candidate in Industrial Engineering

Éden M. Santos

Optimization in Construction

F.C.C. Moraes Júnior

Industrial Mathematics

Massimo P. Antonioli

Combinatorial Optimization

Rodrigo F. Meneses

Industrial Mathematics

Vitória I.T. Mendonça

Approximate dynamic programming

Recent Publications

Francisco Edyvalberty A. Cordeiro, Anselmo R. Pitombeira Neto (2025). A deep reinforcement learning approach for the asynchronous dynamic vehicle dispatching problem. Artificial Intelligence for Transportation.

Anselmo R. Pitombeira Neto, Diego França (2025). An Ensemble Bayesian Dynamic Linear Model for Human Activity Recognition. IEEE Access.

PDF Project DOI

Anselmo R. Pitombeira Neto, Helano P. Santos (2024). Trajectory modeling via random utility inverse reinforcement learning. Information Sciences.

PDF Project DOI

Anselmo R. Pitombeira Neto, Arthur H. F. Murta (2022). A reinforcement learning approach to the stochastic cutting stock problem. EURO Journal on Computational Optimization.

Bruno A. Prata, Carlos Diego Rodrigues, Jose M. Framinan (2021). Customer order scheduling problem to minimize makespan with sequence-dependent setup times. Computers and Industrial Engineering.

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