High-Dimensional Expensive Optimization by Classification-based Multiobjective Evolutionary Algorithm with Dimensionality Reduction.
Yuma HoraguchiMasaya NakataPublished in: SICE (2023)
Keyphrases
- dimensionality reduction
- high dimensional
- high dimensionality
- pattern recognition
- feature space
- dimensionality reduction methods
- multiobjective evolutionary algorithm
- feature extraction
- dimension reduction
- low dimensional
- high dimensional data
- multiobjective optimization
- feature selection
- support vector
- input space
- data points
- multi objective
- optimization problems
- manifold learning
- kernel learning
- optimization algorithm
- principal component analysis
- similarity search
- kernel function
- high dimensional spaces
- multiobjective evolutionary algorithms
- linear discriminant analysis
- neural network
- semi supervised