dr. Maxence Delorme

Bio

I am Maxence Delorme, an associate professor at Tilburg University, which I joined in October 2020. My research covers a large range of combinatorial optimization problems, from the theoretical bin packing problem to the more applied tutor allocation problem.

I am particularly interested in pushing the boundaries of exact approaches to make them able to solve large-size instances.  Some of my current projects are aimed at maximizing the number of transplants in kidney exchanges,  minimizing energy costs in vertical farming, and maximizing coverage in Mars observation satellites. 

More information can be found in my CV.

Expertise

Combinatorial optimization, Operations research

Courses

• Operations Research and Machine Learning
• Combinatorial Optimization for Data Scie

Recent publications

1. Exact algorithms for a parallel machine scheduling problem with workf…

   Caselli, G., Delorme, M., Iori, M., & Magni, C. A. (2024). Exact algorithms for a parallel machine scheduling problem with workforce and contiguity constraints. Computers & Operations Research, 163, Article 106484.

2. Exact decomposition approaches for a single container loading problem…

   Delorme, M., & Wagenaar, J. C. (2024). Exact decomposition approaches for a single container loading problem with stacking constraints and medium-sized weakly heterogeneous items. Omega-International Journal of Management Science, 125, Article 103039. Advance online publication.

3. Arcflow formulations and constraint generation frameworks for the two…

   Barkel, M., & Delorme, M. (2023). Arcflow formulations and constraint generation frameworks for the two-bar charts packing problem. INFORMS Journal on Computing, 35(2), 475-494.

4. Half-cycle - A new formulation for modelling kidney exchange problems

   Delorme, M., Manlove, D., & Smeets, T. (2023). Half-cycle: A new formulation for modelling kidney exchange problems. Operations Research Letters, 51(3), 234-241.

5. New algorithms for hierarchical optimisation in kidney exchange progr…

   Delorme, M., García, S., Gondzio, J., Kalcsics, J., Manlove, D., & Pettersson, W. (2023). New algorithms for hierarchical optimisation in kidney exchange programmes. Operations Research. Advance online publication.