Optimal Feature Selection via NSGA-II for Power Quality Disturbances Classification.
Utkarsh SinghShyam Narain SinghPublished in: IEEE Trans. Ind. Informatics (2018)
Keyphrases
- feature selection
- nsga ii
- pareto optimal
- multi objective
- classification accuracy
- power quality disturbance
- machine learning
- optimal solution
- support vector
- text classification
- feature space
- multi objective optimization
- pattern recognition
- feature subset
- support vector machine
- feature set
- test problems
- probabilistic neural network
- feature extraction
- decision trees
- evolutionary algorithm
- multiobjective evolutionary algorithm
- optimization problems
- pattern classification
- feature vectors
- dynamic programming
- multiobjective optimization
- signal processing
- knapsack problem
- optimization algorithm
- support vector machine svm
- neural network
- linear programming
- artificial neural networks
- genetic algorithm
- evolutionary multiobjective optimization
- evolutionary multiobjective
- multi objective differential evolution