The problem with a self-adaptative mutation rate in some environments: a case study using the shaky ladder hyperplane-defined functions.
William RandRick L. RioloPublished in: GECCO (2005)
Keyphrases
- hyperplane
- mutation rate
- support vector
- data points
- population size
- linearly independent
- feature space
- training samples
- principal components
- input space
- support vector machine
- convex hull
- evolutionary algorithm
- kernel function
- k nearest neighbor
- fitness function
- feature selection
- low dimensional
- computational intelligence
- data analysis
- objective function