Microarray data feature selection using hybrid genetic algorithm simulated annealing

Computer Science

• Feature Selection 100%
• hybrid genetic algorithm 100%
• Microarray Data 100%
• Simulated Annealing 100%
• Genetic Algorithm 50%
• Artificial Neural Network 33%
• Feature Space 33%
• Support Vector Machine 33%
• Classification Accuracy 33%
• Parallel Search 16%
• Diagnostic System 16%
• Network Support 16%
• Nearest Neighbors Classifier 16%
• Learning Algorithm 16%
• Bayesian Classifier 16%

Engineering

• Genetic Algorithm 100%
• Feature Extraction 100%
• Microarrays 100%
• Classification Accuracy 25%
• Artificial Neural Network 25%
• Support Vector Machine 25%
• Feature Space 25%
• Nearest Neighbor 12%
• Neighbor Classifier 12%
• Separability 12%
• Network Support 12%
• Learning Algorithm 12%
• Bayesian Classifier 12%
• Simulated Annealing Algorithm 12%
• Class Separability 12%
• System Diagnostics 12%

Keyphrases

• Microarray Data 100%
• High Classification Accuracy 40%
• Population-based Incremental Learning 40%
• Feature Space 40%
• Cancer Dataset 40%
• Separability Index 20%
• Network Support 20%
• Nave Bayesian 20%
• Bayesian Classifier 20%
• Class Separability 20%
• Data Set Features 20%
• Genetic Population 20%
• Search Ability 20%
• Feature Combination 20%
• Parallel Search 20%
• Standard Genetic Algorithm 20%
• Diagnostic System 20%