Optimizing Objective Functions with Non-Linearly Correlated Variables Using Evolution Strategies with Kernel-Based Dimensionality Reduction.
Piotr LipinskiPublished in: HAIS (2014)
Keyphrases
- evolution strategy
- dimensionality reduction
- objective function
- evolutionary algorithm
- kernel pca
- evolutionary programming
- optimization problems
- differential evolution
- multi objective
- kernel discriminant analysis
- low dimensional
- data representation
- kernel trick
- data points
- high dimensional
- numerical optimization
- support vector machine
- feature extraction
- feature selection
- particle swarm optimization algorithm
- genetic algorithm
- optimization methods
- high dimensionality
- kernel methods
- random variables
- lower bound
- high dimensional data
- dimensionality reduction methods
- pattern recognition
- machine learning
- global search
- kernel function