Corrigendum to 'Multiobjective optimization of classifiers by means of 3D convex-hull-based evolutionary algorithms' [Information Sciences volumes 367-368 (2016) 80-104].
Jiaqi ZhaoVítor Basto FernandesLicheng JiaoIryna YevseyevaAsep MaulanaRui LiThomas BäckKe TangMichael T. M. EmmerichPublished in: Inf. Sci. (2017)
Keyphrases
- convex hull
- multiobjective optimization
- evolutionary algorithm
- multi objective
- information sciences
- nsga ii
- multiobjective evolutionary algorithms
- multi objective optimization
- training samples
- optimization problems
- evolutionary computation
- optimization algorithm
- differential evolution
- multiobjective evolutionary algorithm
- fitness function
- min max
- pareto optimal
- multiple objectives
- convex polyhedra
- genetic programming
- particle swarm optimization
- multi objective optimization problems
- training data
- swarm intelligence
- simulated annealing
- feasible solution
- information processing
- data points
- genetic algorithm
- multi objective evolutionary algorithms
- decision trees
- semi supervised
- objective function
- metaheuristic
- training set
- expert systems
- optimal solution