HMOEDA_LLE: A hybrid multi-objective estimation of distribution algorithm combining locally linear embedding.
Yuzhen ZhangGuangming DaiLei PengMaocai WangPublished in: IEEE Congress on Evolutionary Computation (2014)
Keyphrases
- preprocessing step
- locally linear embedding
- multi objective
- dimensionality reduction
- estimation of distribution algorithms
- dimensionality reduction methods
- multi objective optimization
- evolutionary algorithm
- nonlinear dimensionality reduction
- manifold learning
- high dimensional data
- high dimensional
- low dimensional
- principal component analysis
- optimization algorithm
- feature subset selection
- feature selection
- genetic algorithm
- evolutionary computation
- laplacian eigenmaps
- particle swarm optimization
- feature extraction
- subspace learning
- underlying manifold
- data points
- orthogonal projection
- dimensional data
- linear discriminant analysis
- objective function
- manifold learning algorithm
- particle swarm optimization algorithm
- optimization problems
- combinatorial optimization
- multi dimensional
- discriminant analysis
- genetic programming
- neighborhood preserving embedding
- simulated annealing
- data analysis
- learning algorithm