A deep reinforcement learning based hybrid algorithm for efficient resource scheduling in edge computing environment.
Fei XueQiuru HaiTingting DongZhihua CuiYuelu GongPublished in: Inf. Sci. (2022)
Keyphrases
- hybrid algorithm
- computing environments
- resource scheduling
- reinforcement learning
- particle swarm optimization
- simulated annealing
- grid systems
- particle swarm optimization pso
- differential evolution
- standard test problems
- optimal solution
- genetic algorithm
- ant colony optimization
- artificial neural networks
- grid computing
- tabu search
- mobile agents
- computational intelligence
- mobile computing
- objective function