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