Multi-stage dimension reduction for expensive sparse multi-objective optimization problems.
Zheng TanHanding WangShulei LiuPublished in: Neurocomputing (2021)
Keyphrases
- multistage
- dimension reduction
- multi objective optimization problems
- high dimensional
- multi objective
- random projections
- multi objective optimization
- sparse metric learning
- feature extraction
- evolutionary algorithm
- principal component analysis
- single stage
- differential evolution
- dynamic programming
- high dimensional data
- low dimensional
- multi objective evolutionary algorithms
- test problems
- high dimensionality
- dimensionality reduction
- feature space
- linear discriminant analysis
- sparse representation
- singular value decomposition
- optimization algorithm
- cluster analysis
- feature selection
- multiobjective optimization
- evolutionary computation
- nsga ii
- optimization problems
- genetic algorithm
- optimal policy
- clustering method
- genetic programming
- bi objective
- preprocessing
- support vector
- face recognition