Time series forecasting by evolving artificial neural networks using genetic algorithms and differential evolution.
Juan PeraltaXiaodong LiGermán GutiérrezAraceli SanchisPublished in: IJCNN (2010)
Keyphrases
- artificial neural networks
- differential evolution
- genetic algorithm
- adaptive differential evolution
- evolutionary algorithm
- evolution process
- convergence speed
- particle swarm optimization
- test functions
- differential evolution algorithm
- optimization method
- optimization algorithm
- back propagation
- constrained optimization problems
- hybrid algorithm
- mutation operator
- mutation strategy
- particle swarm optimization pso
- fitness function
- parameter optimization
- genetic algorithm ga
- premature convergence
- multi objective optimization
- numerical optimization problems
- neural network
- evolution strategy
- real coded
- computational intelligence
- neural network model
- radial basis function
- biogeography based optimization
- solving global optimization problems
- simulated annealing
- evolutionary programming
- genetic programming
- function optimization
- optimization problems
- evolutionary process
- particle swarm
- multi objective
- artificial bee colony
- evolutionary strategy
- direct search
- binary particle swarm optimization
- global optimization problems
- initial population
- evolutionary computation
- pso algorithm