Adding new optimization functions

One of the beautiful things about our visual test workbench is the ease of which we can add new optimization functions for testing.

The purpose of functions

Some problems are evaluated in terms of quality versus correct or incorrect. Such problems are known as optimization problems because the goal is the identification of the optimal value. Functions (sometimes called cost functions, objective functions, error functions, and so on.) achieve that goal by mapping n-dimensional real-valued items into one-dimensional real-valued items (some folks will prefer the termspaces over items' as it more closely aligns with the total search space we have talked about).

There are two types of function...