A GA-PCA approach for power sector performance ranking based on machine productivity.
V. EbrahimipourAli AzadehKamran RezaieKazuhiko SuzukiPublished in: Appl. Math. Comput. (2007)
Keyphrases
- principal component analysis
- genetic algorithm ga
- genetic algorithm
- ranking algorithm
- power consumption
- web search
- face recognition
- covariance matrix
- principal components analysis
- batch processing
- fitness function
- neural network
- learning to rank
- multi objective
- hybrid algorithm
- hybrid genetic algorithm
- artificial neural networks
- linear discriminant analysis
- high dimensional
- feature extraction
- ranking functions
- dimensionality reduction
- parallel genetic algorithm
- rank aggregation
- particle swarm optimization pso
- face images
- negative matrix factorization
- kernel pca
- penalty function
- higher education
- web search engines
- simulated annealing
- hybrid particle swarm optimization
- appearance based object recognition