Evolutionary Algorithm

Algorithms that roughly emulate the process of evolution by natural selection.

Though there is wide variation, what all these algorithms have in common is that they

Begin with a "fitness function" specifying the goal of learning
Create and then iteratively modify a "population" of candidate solutions, with the goal being to progressively find solutions that are better and better at maximizing the fitness functions, by paying attention to the characteristics of the solutions fond best so far