  We survey eight recent works by our group, involving the successful blending
of evolutionary algorithms with machine learning and deep learning: 1. Binary
and Multinomial Classification through Evolutionary Symbolic Regression, 2.
Classy Ensemble: A Novel Ensemble Algorithm for Classification, 3. EC-KitY:
Evolutionary Computation Tool Kit in Python, 4. Evolution of Activation
Functions for Deep Learning-Based Image Classification, 5. Adaptive Combination
of a Genetic Algorithm and Novelty Search for Deep Neuroevolution, 6. An
Evolutionary, Gradient-Free, Query-Efficient, Black-Box Algorithm for
Generating Adversarial Instances in Deep Networks, 7. Foiling Explanations in
Deep Neural Networks, 8. Patch of Invisibility: Naturalistic Black-Box
Adversarial Attacks on Object Detectors.
