A Novel hybrid genetic algorithm for kernel function and parameter optimization in support vector regression.
Chih-Hung WuGwo-Hshiung TzengRong-Ho LinPublished in: Expert Syst. Appl. (2009)
Keyphrases
- hybrid genetic algorithm
- parameter optimization
- support vector regression
- kernel function
- support vector machine
- genetic algorithm
- genetic algorithm ga
- genetic operators
- support vector
- differential evolution
- crossover operator
- feature space
- fitness function
- kernel learning
- mutation operator
- support vector machine svm
- high dimensional
- hyperparameters
- parameter estimation
- parameter settings
- feature vectors
- evolutionary algorithm
- machine learning
- artificial neural networks
- particle swarm optimization pso
- simulated annealing
- feature selection
- metaheuristic
- optimization algorithm
- k nearest neighbor
- genetic programming
- computer vision
- multi objective