Jonathan Gaudreault

Orcid: 0000-0001-5493-8836

According to our database1, Jonathan Gaudreault authored at least 39 papers between 2007 and 2024.

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Bibliography

2024
Deep reinforcement learning for continuous wood drying production line control.
Comput. Ind., January, 2024

2023
Dynamic allocation of human resources: case study in the metal 4.0 manufacturing industry.
Int. J. Prod. Res., October, 2023

An image is worth 10,000 points: Neural network architectures and alternative log representations for lumber production prediction.
Comput. Ind., October, 2023

Toward digital twins for sawmill production planning and control: benefits, opportunities, and challenges.
Int. J. Prod. Res., April, 2023

Learn, Compare, Search: One Sawmill's Search for the Best Cutting Patterns Across and/or Trees.
Proceedings of the Learning and Intelligent Optimization - 17th International Conference, 2023

Dynamic Programming for the Fixed Route Hybrid Electric Aircraft Charging Problem.
Proceedings of the Combinatorial Optimization and Applications, 2023

Supervised recommendations of gas metal arc welding parameters.
Proceedings of the 36th Canadian Conference on Artificial Intelligence, 2023

2022
Responsive Mixed-initiative System for Reoptimization of Mixed-integer Programming.
Int. J. Artif. Intell. Tools, 2022

Predicting real life electric vehicle fast charging session duration using neural networks.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

Dynamic Programming for the Fixed Route Electric Vehicle Charging Problem with NonLinear Energy Management.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

2021
Tactical-operational coordination of a divergent production system with coproduction: the sawmilling challenge.
INFOR Inf. Syst. Oper. Res., 2021

Neural Network Architectures and Feature Extraction for Lumber Production Prediction.
Proceedings of the 34th Canadian Conference on Artificial Intelligence, 2021

2020
The Fixed Route Electric Vehicle Charging Problem with nonlinear energy management and variable vehicle speed.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Learning Sensitivity of RCPSP by Analyzing the Search Process.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Leveraging Constraint Scheduling: A Case Study to the Textile Industry.
Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2020

The Confidence Constraint: A Step Towards Stochastic CP Solvers.
Proceedings of the Principles and Practice of Constraint Programming, 2020

2019
Integrating revenue management and sales and operations planning in a Make-To-Stock environment: softwood lumber case study.
INFOR Inf. Syst. Oper. Res., 2019

2018
Simulation-optimisation based framework for Sales and Operations Planning taking into account new products opportunities in a co-production context.
Comput. Ind., 2018

Learning from Historical Data to predict Electric Vehicle Taxi Consumption and Charging Time.
Proceedings of the 2018 Winter Simulation Conference, 2018

Simulating an Integrated Revenue Management Approach in a production System with Product Substitution.
Proceedings of the 2018 Winter Simulation Conference, 2018

Tree Species Identification from Bark Images Using Convolutional Neural Networks.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

2017
Designing a generic human-machine framework for real-time supply chain planning.
J. Comput. Des. Eng., 2017

Evaluating order acceptance policies for divergent production systems with co-production.
Int. J. Prod. Res., 2017

An Iterative Closest Point Method for Measuring the Level of Similarity of 3D Log Scans in Wood Industry.
Proceedings of the Service Orientation in Holonic and Multi-Agent Manufacturing, 2017

Dealing with User's Preferences in Mixed-Initiative Systems for Linear Optimization.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

2016
Analysis of uncontrollable supply effects on a co-production demand-driven wood remanufacturing mill with alternative processes.
INFOR Inf. Syst. Oper. Res., 2016

2015
Improving a hardwood flooring cutting system through simulation and optimization.
Proceedings of the 2015 Winter Simulation Conference, 2015

Machine learning-based metamodels for sawing simulation.
Proceedings of the 2015 Winter Simulation Conference, 2015

RLBS: An Adaptive Backtracking Strategy Based on Reinforcement Learning for Combinatorial Optimization.
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

2014
Parallel Depth-Bounded Discrepancy Search.
Proceedings of the Integration of AI and OR Techniques in Constraint Programming, 2014

2013
Parallel Discrepancy-Based Search.
Proceedings of the Principles and Practice of Constraint Programming, 2013

2012
Supply Chain Coordination Using an Adaptive Distributed Search Strategy.
IEEE Trans. Syst. Man Cybern. Part C, 2012

Optimization/simulation-based framework for the evaluation of supply chain management policies in the forest product industry.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

Human-machine interaction for real-time linear optimization.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

2011
Combined planning and scheduling in a divergent production system with co-production: A case study in the lumber industry.
Comput. Oper. Res., 2011

2010
Coordination mechanism design in supply chains using multi-behaviour agents.
Int. J. Electron. Bus., 2010

2009
Distributed search for supply chain coordination.
Comput. Ind., 2009

Study of the performance of multi-behaviour agents for supply chain planning.
Comput. Ind., 2009

2007
Discrepancy-Based Method for Hierarchical Distributed Optimization.
Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), 2007


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