A new multi-objective evolutionary algorithm based on convex hull for binary classifier optimization.
Marco CococcioniPietro DucangeBeatrice LazzeriniFrancesco MarcelloniPublished in: IEEE Congress on Evolutionary Computation (2007)
Keyphrases
- convex hull
- multi objective evolutionary algorithms
- multi objective
- training samples
- multi objective optimization
- multi criteria
- optimization algorithm
- convex polyhedra
- multiobjective optimization
- test problems
- nsga ii
- optimization problems
- fitness function
- learning algorithm
- extreme points
- mixed integer
- feasible solution
- feature selection
- training set
- feature space
- training data
- bi objective
- decision trees
- differential evolution
- special case
- continuous variables
- machine learning