Using singular value decomposition to improve a genetic algorithm's performance.
J. G. MartinKhaled RasheedPublished in: IEEE Congress on Evolutionary Computation (2003)
Keyphrases
- singular value decomposition
- genetic algorithm
- singular values
- latent semantic indexing
- dimensionality reduction
- dimension reduction
- least squares
- reconstruction error
- principal component analysis
- low rank
- measurement matrix
- data sets
- correlation matrix
- null space
- machine learning
- latent semantic analysis
- image processing
- computer vision
- low rank matrix