What Happened to Genetic Algorithms?
Maybe 10-20 years ago genetic algorithms were hyped. Mutation and mating were thought to be good methods for optimizing towards some goal. What happened to the field? Was it out-competed by fitter learning methods such as gradient descent?
They work (well) when the fitness function is well described but lacks a gradient.