Deep Reinforcement Learning for Solving the Vehicle Routing Problem in Practical Logistics.
Junchuang CaiXinzhi ZhangQiuzhen LinLisha DongWeineng ChenZhong MingPublished in: CEC (2024)
Keyphrases
- vehicle routing problem
- reinforcement learning
- multi depot
- logistics distribution
- combinatorial optimization
- tabu search
- metaheuristic
- vehicle routing problem with time windows
- vehicle routing problem with simultaneous
- vehicle routing
- routing problem
- benchmark problems
- test instances
- hybrid metaheuristic
- traveling salesman problem
- benchmark instances
- travel time
- simulated annealing
- memetic algorithm
- particle swarm optimization
- search strategies
- iterated local search
- optimization problems
- state space
- scheduling problem
- variable neighborhood search
- timetabling problem
- multi objective
- evolutionary algorithm
- search space