Results derived from GP models are usually very sensitive to the type of achievement function that is chosen ... All references mentioned in Class 2 use linear goal programming (GP).

The tradeoff for that is giving up the nice properties that linear functions enjoy. Now if I can just get my students to get that ...

However, AI models are often used to find intricate patterns in data where the output is not always proportional to the input. For this, you also need non-linear thresholding functions that adjust ...