Evolutionary Algorithms take two parent designs – for a boat hull, say – and blend components of each, perhaps taking the surface area of one and the curvature of another, to produce multiple hull offspring that combine the features of the parents in different ways. Then the algorithm selects those offspring it considers are worth re-breeding – in this case those with the right combination of parameters to make a better hull. The EA then repeats the process. Although many offspring will be discarded, after thousands of generations or more, useful features accumulate in the same design, and get combined in ways that likely would not have occurred to a human designer. This is because a human does not have the time to combine all the possibilities for each feature and evaluate them, but an EA does.