Authors: Fulin Yan, François Clautiaux, Aurélien Froger, Boris Albar
Abstract: In this work, we propose a generic heuristic for the resource-constrained shortest path problem derived from dynamic programming reformulations of hard combinatorial optimization problems. The approach is a machine-learning (ML)-augmented beam search [Read more]

In November, we had the first workshop for project ACME et Ecole Nationale des Ponts et Chaussées.

Project ACME is funded by PEPR MOBIDEC. The program aims to mobilize the national research community and transportation ecosystem stakeholders to:

  1. Understand mobility of goods and peopleand anticipate the mobility of goods and people
  2. Help collect, structure, and interpret mobility data
  3. Provide decision-making tools to simulate the impact of public policies and evaluate the relevance of new transport solutions

Our projet studies optimization methods for horizontal collaboration in logistics.

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