Xavier Gillard

Orcid: 0000-0002-4493-6041

According to our database1, Xavier Gillard authored at least 11 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Modeling and Exploiting Dominance Rules for Discrete Optimization with Decision Diagrams.
Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2024

2023
Partitioning a Map into Homogeneous Contiguous Regions: A Branch-And-Bound Approach Using Decision Diagrams (Short Paper).
Proceedings of the 29th International Conference on Principles and Practice of Constraint Programming, 2023

Boosting Decision Diagram-Based Branch-And-Bound by Pre-Solving with Aggregate Dynamic Programming.
Proceedings of the 29th International Conference on Principles and Practice of Constraint Programming, 2023

2022
Discrete optimization with decision diagrams: design of a generic solver, improved bounding techniques, and discovery of good feasible solutions with large neighborhood search.
PhD thesis, 2022

Branch-and-Bound with Barrier: Dominance and Suboptimality Detection for DD-Based Branch-and-Bound.
CoRR, 2022

Large Neighborhood Search with Decision Diagrams.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Solving the Constrained Single-Row Facility Layout Problem with Decision Diagrams.
Proceedings of the 28th International Conference on Principles and Practice of Constraint Programming, 2022

2021
Improving the filtering of Branch-And-Bound MDD solver (extended).
CoRR, 2021

Improving the Filtering of Branch-and-Bound MDD Solver.
Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2021

2020
Ddo, a Generic and Efficient Framework for MDD-Based Optimization.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019
SolverCheck: Declarative Testing of Constraints.
Proceedings of the Principles and Practice of Constraint Programming, 2019


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