A hybridization of teaching-learning-based optimization and differential evolution for chaotic time series prediction.
Lei WangFeng ZouXinhong HeiDongdong YangDebao ChenQiaoyong JiangZijian CaoPublished in: Neural Comput. Appl. (2014)
Keyphrases
- differential evolution
- hybrid algorithm
- mackey glass
- evolutionary algorithm
- function approximation
- particle swarm optimization
- differential evolution algorithm
- optimization algorithm
- artificial neural networks
- particle swarm optimization pso
- convergence speed
- test functions
- optimization method
- premature convergence
- chaotic time series
- neural network
- constrained optimization problems
- mutation operator
- numerical optimization problems
- genetic algorithm
- radial basis function
- multi objective optimization
- neural network model
- cellular automata
- global optimization problems
- crossover operator
- evolutionary programming
- evolution strategy
- parameter optimization
- multi objective
- function optimization problems
- direct search
- real coded
- phase space
- harmony search
- function optimization
- prediction model
- particle swarm
- optimization problems
- biogeography based optimization
- nsga ii