A Routing Optimization Method for Software-Defined SGIN Based on Deep Reinforcement Learning.
Zhe TuHuachun ZhouKun LiGuanglei LiQi ShenPublished in: GLOBECOM Workshops (2019)
Keyphrases
- optimization method
- reinforcement learning
- optimization algorithm
- optimization methods
- optimization process
- differential evolution
- genetic algorithm
- evolutionary algorithm
- global optimum
- simulated annealing
- metaheuristic
- nonlinear optimization
- software development
- optimization procedure
- nelder mead simplex
- software systems
- machine learning
- particle swarm
- function approximation
- routing algorithm
- quasi newton
- model free
- routing problem
- search algorithm
- hybrid algorithm
- optimization strategy
- neural network training
- computer systems
- state space
- learning algorithm
- multi objective
- ad hoc networks
- optimal solution
- markov decision processes
- routing protocol