Guidelines for the computational testing of machine learning approaches to vehicle routing problems.
Luca AccorsiAndrea LodiDaniele VigoPublished in: Oper. Res. Lett. (2022)
Keyphrases
- machine learning approaches
- vehicle routing problem
- vehicle routing problem with time windows
- machine learning methods
- machine learning
- machine learning algorithms
- metaheuristic
- routing problem
- tabu search
- benchmark instances
- machine learning models
- benchmark problems
- traveling salesman problem
- test instances
- neighborhood search
- guided local search
- multi depot
- data mining methods
- particle swarm optimization
- scatter search
- search methods
- variable neighborhood search
- knowledge discovery
- computational complexity