Parallel Implementation of MOEA/D with Parallel Weight Vectors for Feature Selection.
Weiduo LiaoHisao IshibuchiLie Meng PangKe ShangPublished in: SMC (2020)
Keyphrases
- parallel implementation
- weight vector
- feature selection
- parallel implementations
- parallel computation
- multi objective
- parallel computers
- message passing interface
- linear combination
- support vector machine
- distributed memory
- feature set
- learning rate
- machine learning
- mutual information
- classification accuracy
- support vector
- objective function
- feature extraction
- decision trees
- text classification
- differential evolution
- feature values
- image database
- loss function
- hyperplane
- feature space
- face recognition
- parallel architecture
- neural network