A comparative study of three evolutionary algorithms for surface acoustic wave sensor wavelength selection

Engineering

• Surface Acoustic Wave 100%
• Covariance Matrix 100%
• Dimensionality 75%
• Genetic Algorithm 50%
• Classification Accuracy 50%
• Parametric Study 25%
• Processing Time 25%
• Defects 25%
• Error Rate 25%
• Computation Time 25%
• Classification Error 25%
• Search Algorithm 25%
• Search Space 25%
• Discretization Scheme 25%
• Defect Detection 25%
• Comparable Result 25%

Computer Science

• Evolutionary Algorithms 100%
• Covariance Matrix 100%
• Differential Evolution 75%
• Genetic Algorithm 50%
• Classification Accuracy 50%
• Processing Time 25%
• differential evolution algorithm 25%
• Dimensionality Reduction 25%
• Discretization 25%
• Computation Time 25%
• Search Space 25%
• Classification Error 25%
• Search Algorithm 25%
• Prediction Accuracy 25%

Keyphrases

• Search Efficiency 50%
• Data Dimensionality 50%
• Search Performance 50%
• ZNose 50%
• Apple Detection 25%
• Cost Classification 25%
• Data Dimensionality Reduction 25%
• Large Population Size 25%