A Melting Pot of Evolution and Learning
Moshe Sipper Achiya Elyasaf Tomer Halperin Zvika Haramaty Raz Lapid Eyal Segal Itai Tzruia Snir Vitrack Tamam
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.