Interterminal Truck Routing Optimization Using Deep Reinforcement Learning.
Taufik Nur AdiYelita Anggiane IskandarHyerim BaePublished in: Sensors (2020)
Keyphrases
- reinforcement learning
- optimization algorithm
- global optimization
- logistics distribution
- function approximation
- machine learning
- multi agent reinforcement learning
- dynamic optimization
- constrained optimization
- optimization process
- network topology
- routing algorithm
- vehicle routing problem
- routing protocol
- neural network
- ad hoc networks
- optimization method
- markov decision processes
- optimization problems
- routing problem
- optimization model
- model free
- vehicle routing
- multi agent systems
- genetic algorithm
- truck scheduling