Differential evolution with hybrid parameters and mutation strategies based on reinforcement learning.
Zhiping TanYu TangKangshun LiHuasheng HuangShaoming LuoPublished in: Swarm Evol. Comput. (2022)
Keyphrases
- differential evolution
- parameter optimization
- evolutionary algorithm
- reinforcement learning
- optimization algorithm
- evolutionary strategy
- mutation operator
- convergence speed
- differential evolution algorithm
- optimization method
- particle swarm optimization
- test functions
- particle swarm optimization pso
- genetic algorithm
- adaptive differential evolution
- mutation strategy
- premature convergence
- evolutionary programming
- function optimization problems
- evolution strategy
- multi objective
- numerical optimization problems
- particle swarm
- direct search
- multi objective optimization
- global optimization problems
- crossover rate
- crossover operator
- parameter settings
- parameter estimation
- hybrid algorithm
- genetic programming
- artificial bee colony
- biogeography based optimization
- particle swarm optimization algorithm
- parameter values
- optimization problems
- initial population
- real coded
- maximum likelihood
- evolutionary computation
- simulated annealing