Integer-based genetic algorithm for feature selection in multivariate calibration.
Rhelcris S. SousaTelma Woerle de LimaLauro C. M. de PaulaRoney Lopes LimaArlindo R. G. FilhoAnderson da Silva SoaresPublished in: CEC (2017)
Keyphrases
- genetic algorithm
- feature selection
- text categorization
- camera calibration
- parameter optimization
- mutual information
- evolutionary algorithm
- multi objective
- multi class
- fitness function
- simulated annealing
- classification accuracy
- statistical tests
- neural network
- information gain
- feature subset
- optimization method
- genetic algorithm ga
- camera parameters
- support vector machine
- feature selection algorithms
- high dimensionality
- intrinsic parameters
- irrelevant features
- genetic search
- machine learning
- differential evolution
- regression model
- feature extraction
- model selection
- tabu search
- feature selection and classifier
- multivariate data
- support vector
- artificial neural networks
- fuzzy logic
- crossover operator
- feature set
- text classification
- multi task
- metaheuristic
- feature weighting
- calibration method
- population size
- multivariate time series
- unsupervised feature selection
- method for feature selection
- hand eye coordination
- microarray data