Deep Reinforcement Learning Based Parameter Control in Differential Evolution.
Mudita SharmaAlexandros KomninosManuel López-IbáñezDimitar KazakovPublished in: CoRR (2019)
Keyphrases
- differential evolution
- reinforcement learning
- evolutionary algorithm
- differential evolution algorithm
- optimization algorithm
- control parameters
- convergence speed
- particle swarm optimization
- test functions
- optimization method
- genetic algorithm
- evolution strategy
- particle swarm optimization pso
- mutation operator
- power flow
- constrained optimization problems
- hybrid algorithm
- multi objective optimization
- evolutionary programming
- global optimization problems
- control system
- particle swarm
- biogeography based optimization
- real coded
- direct search
- evolutionary strategy
- control method
- control policy
- numerical optimization problems
- dynamic programming
- harmony search
- evolutionary computation
- artificial bee colony
- control strategy
- initial population
- parameter optimization
- global optimization
- parameter values
- crossover operator
- genetic programming
- state space
- machine learning
- multi objective
- learning algorithm
- nsga ii