A study of crossover operators and reference set sizes for scatter search in unconstrained function optimization.
Ticiano Torres PeraltaFerat SahinPublished in: SMC (2011)
Keyphrases
- function optimization
- crossover operator
- scatter search
- mutation operator
- reference set
- image classification
- genetic algorithm
- computational efficiency
- nsga ii
- learning problems
- differential evolution
- tabu search
- particle swarm optimization
- classification accuracy
- dynamic programming
- active learning
- artificial neural networks
- objective function