Simulation-based Autonomous Algorithm Selection for Dynamic Vehicle Routing Problems with the Help of Supervised Learning Methods.
Thomas MayerTobias UhligOliver RosePublished in: WSC (2018)
Keyphrases
- learning algorithm
- dynamic programming
- np hard
- greedy randomized adaptive search procedure
- benchmark problems
- optimization algorithm
- supervised learning
- computational complexity
- optimal solution
- vehicle routing problem
- cost function
- active learning
- objective function
- routing problem
- heuristic methods
- evolutionary approaches
- lower bound
- worst case
- linear programming
- combinatorial optimization
- convex hull
- memetic algorithm
- genetic algorithm