EMO-GAT: An Evolutionary Multi-Objective Method for Adversarial Training.
Marcellus SmithBrandon BrownGerry V. DozierMichael C. KingPublished in: SSCI (2021)
Keyphrases
- multi objective
- optimization algorithm
- cost function
- classification method
- high accuracy
- training process
- objective function
- significant improvement
- neural network
- similarity measure
- detection method
- synthetic data
- segmentation method
- training algorithm
- feed forward neural networks
- high precision
- evolutionary multi objective optimization
- support vector machine svm
- experimental evaluation
- evolutionary algorithm
- preprocessing
- multi agent