Genetic algorithms (GAs) and evolutionary strategy to optimize electronic nose sensor selection

Engineering

• Genetic Algorithm 100%
• Electronic Nose 100%
• Error Rate 83%
• Classification Error 83%
• Dimensionality 50%
• Covariance Matrix 33%
• Defect Detection 33%
• Classification Accuracy 16%
• Search Method 16%
• Selection Method 16%
• Computation Time 16%
• Optimization Approach 16%
• Using Sensor 16%
• Classification Performance 16%

Keyphrases

• Algorithm Strategy 100%
• Heuristic Optimization Algorithm 16%
• Algorithm Genetic 16%
• Forward-backward Search 16%
• Minimum Classification Error 16%
• Sequential Forward 16%
• Optimal Solution Set 16%

Earth and Planetary Sciences

• Genetic Algorithm 100%
• Covariance 50%