Preprints

Variable Smoothing for Weakly Convex Problems with Non-Euclidean Directions

Najar, F.

arXiv preprint arXiv:2608.04584, 2026

Demand Acceptance using RL for Dynamic VRP with Emission Quota

Najar, F., Barth, D. and Strozecki, Y.

arXiv preprint arXiv:2603.13279, 2026

Conference Papers

Demand Selection for VRP with Emission QuotaLION19

Najar, F., Barth, D. and Strozecki, Y.

International Conference on Learning and Intelligent Optimization (pp. 64-79). Cham: Springer Nature Switzerland, 2025. Presented at LION19, Prague, Czech Republic.

Doctoral Dissertation

Algorithms hybridizing AI and OR for the dimensioning and management of the impact of the supply chain on a local authority

Najar, F.

Université Paris-Saclay, 2026

Master’s Thesis

Possibilities of a decentralized power grid management in real time using multi-agent reinforcement learning

Najar, F.

Université Paris-Saclay, 2022

Conference Presentations

  • ROADEF, Amiens, France (2024) - Presented work on static MFVA
  • ROADEF, Rennes, France (2023) - Participant