Multiobjective optimization of classifiers by means of 3D convex-hull-based evolutionary algorithms.
Jiaqi ZhaoVítor Basto FernandesLicheng JiaoIryna YevseyevaAsep MaulanaRui LiThomas BäckKe TangMichael T. M. EmmerichPublished in: Inf. Sci. (2016)
Keyphrases
- multiobjective optimization
- convex hull
- evolutionary algorithm
- multi objective
- multiobjective optimization problems
- nsga ii
- multiobjective evolutionary algorithms
- multi objective optimization
- evolutionary computation
- optimization algorithm
- training samples
- optimization problems
- min max
- multiobjective evolutionary algorithm
- differential evolution
- genetic algorithm
- convex polyhedra
- swarm intelligence
- fitness function
- pareto optimal
- particle swarm optimization
- artificial immune system
- multiple objectives
- training data
- feasible solution
- mixed integer
- feature selection
- simulated annealing
- decision trees
- finite set of points
- multi objective evolutionary algorithms
- extreme points
- data points
- continuous variables
- crossover operator
- test problems
- machine learning
- genetic programming