Graph Convolutional Network Based Multi-Objective Meta-Deep Q-Learning for Eco-Routing.
Xin MaYuanchang XieChunxiao ChiganPublished in: IEEE Trans. Intell. Transp. Syst. (2024)
Keyphrases
- multi objective
- deep learning
- optimization algorithm
- evolutionary algorithm
- multi objective optimization
- graph transformation
- genetic algorithm
- multiple objectives
- particle swarm optimization
- reinforcement learning
- multi agent
- graph theory
- graph model
- graph structure
- nsga ii
- directed acyclic graph
- function approximation
- graph matching
- routing algorithm
- ad hoc networks
- spanning tree
- stochastic approximation
- cooperative
- random walk
- routing problem
- unsupervised feature learning
- multi objective optimization problems
- structured data
- learning algorithm
- network architecture
- learning rate
- directed graph
- routing protocol
- graph representation
- pareto optimal
- optimal policy
- shortest path
- optimum design
- objective function