Reinforcement Learning for Solving Stochastic Vehicle Routing Problem.
Zangir IklassovIkboljon SobirovRuben SolozabalMartin TakácPublished in: CoRR (2023)
Keyphrases
- vehicle routing problem
- reinforcement learning
- combinatorial optimization
- routing problem
- vehicle routing
- metaheuristic
- vehicle routing problem with simultaneous
- tabu search
- benchmark problems
- vehicle routing problem with time windows
- traveling salesman problem
- memetic algorithm
- hybrid metaheuristic
- particle swarm optimization
- test instances
- travel time
- np hard
- benchmark instances
- stochastic approximation
- monte carlo
- simulated annealing
- logistics distribution
- iterated local search
- timetabling problem
- multi depot
- knapsack problem
- search strategies
- optimization problems
- genetic algorithm
- integer programming
- neural network
- search strategy
- greedy algorithm
- variable neighborhood search
- optimal policy
- cost function
- data structure
- learning algorithm
- greedy randomized adaptive search procedure