Simply put, a genetic algorithm, or GA, is a search method. Given a model that accepts inputs and
responds with outputs, a GA can search the model space for the set of inputs the yields the maximum response value. It does this by repeatedly trying new input values and evaluating the corresponding output values but it does so in a very orderly fashion.

More soon!