The project is entitled “Machine Learning and Meta-Optimization: A Hybrid Approach to Operational Research in Logistics” and concerns the combination of heuristic and learning methods for logistics problem in operational research. The objective of this PhD thesis is to combine learning methods with current heuristics, in order to improve them in terms of both computation time and quality of results. This approach fits within a current and relevant line of research in combinatorial optimization.