A Hybrid of Deep Reinforcement Learning and Local Search for the Vehicle Routing Problems.
Jiuxia ZhaoMinjia MaoXi ZhaoJianhua ZouPublished in: IEEE Trans. Intell. Transp. Syst. (2021)
Keyphrases
- greedy randomized adaptive search procedure
- vehicle routing problem
- reinforcement learning
- metaheuristic
- path relinking
- tabu search
- guided local search
- nature inspired
- memetic algorithm
- neighborhood search
- combinatorial optimization
- vehicle routing problem with time windows
- simulated annealing
- search procedure
- routing problem
- test instances
- scatter search
- benchmark problems
- ant colony optimization
- benchmark instances
- traveling salesman problem
- search algorithm
- particle swarm optimization
- genetic algorithm
- waste collection
- search space
- feasible solution
- ant colonies
- collective intelligence
- swarm intelligence
- variable neighborhood search
- neural network
- state space
- dynamic programming
- np hard
- lower bound
- optimal solution