An efficient integration of the genetic algorithm and the reinforcement learning for optimal deployment of the wireless charging electric tram system.
Young Dae KoPublished in: Comput. Ind. Eng. (2019)
Keyphrases
- particle swarm optimization
- genetic algorithm
- multi objective
- reinforcement learning
- differential evolution
- optimal control
- dynamic programming
- electric vehicles
- machine learning
- worst case
- evolutionary algorithm
- state space
- simulated annealing
- data integration
- fitness function
- optimal parameters
- learning process
- wireless networks
- tabu search
- neural network
- learning algorithm
- learning classifier systems
- optimal solution
- binary decision tree
- control policy
- mobile ad hoc networks
- function approximation
- supply chain