Dimensionality Reduction using GA-PSO.
Cheng-Hong YangChung-Jui TuJun-Yang ChangHsiou-Hsiang LiuPo-Chang KoPublished in: JCIS (2006)
Keyphrases
- dimensionality reduction
- particle swarm optimization pso
- genetic algorithm ga
- hybrid pso
- particle swarm optimisation
- pso algorithm
- hybrid particle swarm optimization
- hybrid algorithm
- particle swarm optimization
- fitness function
- genetic algorithm
- evolutionary methods
- premature convergence
- high dimensional data
- swarm intelligence
- low dimensional
- optimization algorithm
- simulated annealing
- principal component analysis
- multi objective
- differential evolution
- high dimensional
- feature extraction
- pattern recognition
- feature space
- particle swarm
- data representation
- particle swarm optimization algorithm
- global optimization
- principal components
- artificial neural networks
- mutation operator
- particle swarm optimizer
- genetic programming
- inertia weight
- ant colony optimization
- data points
- pattern recognition and machine learning
- optimization method
- manifold learning
- feature selection
- high dimensionality
- tabu search
- mathematical functions
- dimensionality reduction methods
- hybrid ga
- genetic operators
- mutation operation
- convergence speed
- metaheuristic
- simplex search
- kernel pca
- global search
- crossover operator
- linear discriminant analysis
- neural network
- objective function
- nonlinear dimensionality reduction
- quantum behaved particle swarm optimization
- locally linear embedding