Ensemble-based Deep Reinforcement Learning for Vehicle Routing Problems under Distribution Shift.
Yuan JiangZhiguang CaoYaoxin WuWen SongJie ZhangPublished in: NeurIPS (2023)
Keyphrases
- vehicle routing problem
- reinforcement learning
- vehicle routing problem with time windows
- test instances
- metaheuristic
- tabu search
- routing problem
- traveling salesman problem
- learning algorithm
- waste collection
- neural network
- guided local search
- training set
- multi depot
- neighborhood search
- greedy randomized adaptive search procedure
- benchmark instances
- memetic algorithm
- ensemble methods
- benchmark problems
- knapsack problem
- search strategies
- shortest path
- particle swarm optimization
- state space
- multi objective
- special case
- variable neighborhood search
- search space
- training data
- feature selection
- genetic algorithm
- machine learning