CMA-ES with coordinate selection for high-dimensional and ill-conditioned functions.
Hiroki ShimizuMasashi ToyodaPublished in: GECCO Companion (2021)
Keyphrases
- high dimensional
- cma es
- evolution strategy
- low dimensional
- dimensionality reduction
- feature space
- image restoration
- high dimensional data
- gene expression data
- covariance matrix
- data sets
- multi dimensional
- nearest neighbor
- similarity search
- basis functions
- face recognition
- traveling salesman problem
- noisy data
- selection algorithm
- computer vision
- sparse data
- machine learning