Too many ideas, too little time! I am already thinking for a while about how Deep Learning and Genetic Algorithms could benefit each other. GAs allow optimizat

Too many ideas, too little time! I am already thinking for a while about how Deep Learning and Genetic Algorithms could benefit each other. GAs allow optimization of parameters without a differentiable loss function - a major problem with evaluating behavior of a neural model, for example. But also GAs could benefit from ML/DL. Predicting loss functions from a chromosome representation (to save computing time), learning to select promising pairs and even learning cross-over operators.