Multiobjective Optimization of Classifiers by Means of 3-D Convex Hull Based Evolutionary Algorithm.
Jiaqi ZhaoVítor Basto FernandesLicheng JiaoIryna YevseyevaAsep MaulanaRui LiThomas BäckMichael T. M. EmmerichPublished in: CoRR (2014)
Keyphrases
- convex hull
- multiobjective optimization
- evolutionary algorithm
- multi objective
- nsga ii
- multi objective optimization
- optimization problems
- multiobjective evolutionary algorithms
- optimization algorithm
- training samples
- evolutionary computation
- multiobjective evolutionary algorithm
- min max
- genetic algorithm
- differential evolution
- training data
- mixed integer
- crossover operator
- convex polyhedra
- pareto optimal
- particle swarm optimization
- feasible solution
- simulated annealing
- multiple objectives
- swarm intelligence
- artificial immune system
- decision trees
- fitness function
- genetic programming
- minimum distance
- test problems
- data points
- neural network
- training set
- simple polygon
- linear programming
- complex systems
- feature extraction