Time series forecasting by evolving artificial neural networks with genetic algorithms, differential evolution and estimation of distribution algorithm.
Juan Peralta DonateXiaodong LiGermán Gutiérrez SánchezAraceli Sanchis de MiguelPublished in: Neural Comput. Appl. (2013)
Keyphrases
- differential evolution
- artificial neural networks
- estimation of distribution algorithms
- genetic algorithm
- evolutionary algorithm
- particle swarm optimization
- multi objective optimization
- evolutionary computation
- evolution process
- convergence speed
- adaptive differential evolution
- opposition based learning
- multi objective
- differential evolution algorithm
- particle swarm optimization algorithm
- optimization method
- particle swarm optimization pso
- neural network
- mutation operator
- evolution strategy
- constrained optimization problems
- simulated annealing
- premature convergence
- optimization algorithm
- genetic operators
- fitness function
- computational intelligence
- hybrid algorithm
- fuzzy logic
- feature subset selection
- crossover operator
- pso algorithm
- parameter optimization
- genetic algorithm ga
- genetic programming
- optimization problems
- particle swarm
- global optimization
- biogeography based optimization
- initial population
- evolutionary strategy
- nsga ii
- optimization methods
- combinatorial optimization
- ant colony optimization
- metaheuristic