Ask HN: Why is Deep learning winning Genetic algorithms?

Both can be seen as strategies of searching for a solution in an optimization problem. Why does deep learning (gradient descent) work better? Is it because of the randomness in GA? And are there any problems more suitable for GA, where deep learning fails?