Q-Learning-based parameter control in differential evolution for structural optimization.
Thanh N. HuynhDieu T. T. DoJaehong LeePublished in: Appl. Soft Comput. (2021)
Keyphrases
- differential evolution
- evolutionary algorithm
- differential evolution algorithm
- optimization algorithm
- control parameters
- convergence speed
- particle swarm optimization
- particle swarm optimization pso
- optimization method
- evolution strategy
- genetic algorithm
- mutation operator
- test functions
- power flow
- numerical optimization problems
- evolutionary programming
- cooperative
- constrained optimization problems
- hybrid algorithm
- control system
- learning rate
- artificial bee colony
- direct search
- control method
- multi objective
- evolutionary strategy
- real coded
- solving global optimization problems
- harmony search
- function optimization problems
- parameter optimization
- particle swarm
- multi objective optimization
- reinforcement learning
- evolutionary methods
- action selection
- crossover operator
- pso algorithm
- evolutionary computation
- global optimization problems
- dynamic programming
- particle swarm optimization algorithm
- step size
- genetic programming
- optimization problems
- state space
- multi agent