Disease Diagnosis with a hybrid method SVR using NSGA-II.
Mohammad Hossein ZangooeiJafar HabibiRoohallah AlizadehsaniPublished in: Neurocomputing (2014)
Keyphrases
- disease diagnosis
- hybrid method
- nsga ii
- support vector regression
- multi objective
- support vector machine
- multi objective optimization
- test problems
- evolutionary algorithm
- multiobjective optimization
- optimization problems
- pareto optimal
- multiobjective evolutionary algorithm
- optimization algorithm
- optimal solution
- genetic algorithm
- multi objective evolutionary algorithms
- fitness function
- hybrid algorithm
- immune algorithm
- evolutionary multiobjective optimization
- knapsack problem
- evolutionary multiobjective
- bi objective
- mutation operator
- crossover operator
- support vector
- pareto optimal solutions
- support vector machine svm
- benchmark problems
- comparative analysis
- differential evolution
- objective function
- genetic programming
- particle swarm optimization
- machine learning
- solution quality
- data mining
- tabu search
- heart disease
- evolutionary computation
- genetic algorithm ga
- kernel function
- simulated annealing
- feature vectors
- artificial neural networks
- feature extraction
- feature selection