An experimental study of fitness function and time series forecasting using artificial neural networks.
Aranildo Rodrigues Lima JuniorDavid Augusto SilvaPaulo Salgado Gomes de Mattos NetoTiago A. E. FerreiraPublished in: GECCO (Companion) (2010)
Keyphrases
- using artificial neural networks
- fitness function
- artificial neural networks
- genetic algorithm
- genetic programming
- evolutionary algorithm
- genetic algorithm ga
- evolutionary computation
- search space
- crossover and mutation
- evolutionary process
- genetic operators
- neural network
- crossover operator
- fitness evaluation
- evolutionary search
- neural network model
- binary particle swarm optimization
- particle swarm
- initial population
- optimization problems
- constrained optimization problems
- computational intelligence
- nsga ii
- finite element analysis
- multi objective
- mutation rate
- penalty function
- similarity measure
- friction coefficient