Are All Objectives Necessary? On Dimensionality Reduction in Evolutionary Multiobjective Optimization.
Dimo BrockhoffEckart ZitzlerPublished in: PPSN (2006)
Keyphrases
- evolutionary multiobjective optimization
- dimensionality reduction
- high dimensional data
- high dimensional
- pattern recognition
- data representation
- low dimensional
- principal component analysis
- feature extraction
- high dimensionality
- multiple objectives
- structure preserving
- nsga ii
- linear discriminant analysis
- manifold learning
- lower dimensional
- machine learning
- pattern recognition and machine learning
- feature space
- principal components
- random projections
- feature selection
- linear dimensionality reduction
- dimensionality reduction methods
- neural network
- pairwise
- data points
- metric learning
- multidimensional scaling
- nonlinear dimensionality reduction
- computational complexity
- semi supervised dimensionality reduction
- evolutionary algorithm