A demonstration of the utility of fractional experimental design for finding optimal genetic algorithm parameter settings.
D. J. StewardsonRobert Ian WhitfieldPublished in: J. Oper. Res. Soc. (2004)
Keyphrases
- parameter settings
- experimental design
- finding optimal
- genetic algorithm
- population size
- genetic algorithm ga
- parameter values
- active learning
- empirical studies
- fitness function
- simulated annealing
- sample size
- game play
- feature selection
- evolutionary algorithm
- metaheuristic
- artificial neural networks
- class imbalance
- neural network