Sampling in latent space for a mulitiobjective estimation of distribution algorithm.
Bing DongAimin ZhouGuixu ZhangPublished in: CEC (2016)
Keyphrases
- latent space
- estimation of distribution algorithms
- parameter space
- latent variables
- gaussian process
- low dimensional
- feature subset selection
- lower dimensional
- evolutionary computation
- dimensionality reduction
- particle swarm optimization algorithm
- generative model
- gaussian processes
- particle swarm optimization
- transfer learning
- evolutionary algorithm
- feature space
- genetic programming
- random sampling
- high dimensional
- multi objective
- manifold learning
- matrix factorization
- genetic algorithm
- combinatorial optimization
- distance metric
- sample size
- continuous domains
- probabilistic model
- probabilistic latent semantic analysis
- data sets
- hyperparameters
- high dimensional data
- principal component analysis
- pattern recognition