Reinforcement Learning Approach to Stochastic Vehicle Routing Problem With Correlated Demands.
Zangir IklassovIkboljon SobirovRuben SolozabalMartin TakácPublished in: IEEE Access (2023)
Keyphrases
- vehicle routing problem
- reinforcement learning
- direct policy search
- tabu search
- stochastic approximation
- benchmark problems
- metaheuristic
- test instances
- routing problem
- vehicle routing
- vehicle routing problem with time windows
- traveling salesman problem
- hybrid metaheuristic
- np hard
- travel time
- combinatorial optimization
- memetic algorithm
- benchmark instances
- logistics distribution
- vehicle routing problem with simultaneous
- search strategies
- monte carlo
- neighborhood search
- markov decision processes
- optimal policy
- pick up and delivery
- greedy randomized adaptive search procedure
- information retrieval
- knapsack problem
- greedy algorithm
- iterated local search
- simulated annealing
- special case
- learning algorithm