Q-learning and ACO hybridisation for real-time scheduling on heterogeneous distributed architectures.
Younes HajouiOmar BouattaneMohamed YoussfiEl Hossein IlloussamenPublished in: Int. J. Comput. Sci. Eng. (2019)
Keyphrases
- heterogeneous distributed
- ant colony optimization
- reinforcement learning
- cooperative
- function approximation
- multi agent
- learning algorithm
- state space
- metaheuristic
- learning rate
- reinforcement learning algorithms
- action selection
- databases
- ant colony
- aco algorithm
- temporal difference learning
- traveling salesman problem
- query processing
- data sets
- optimal policy
- model free
- ant colony optimization algorithm
- stochastic approximation
- ant colonies
- neural network
- multi objective
- evolutionary algorithm
- multi agent systems
- learning agent
- machine learning
- potential field
- aco algorithms
- ant colony optimization metaheuristic