Results derived from GP models are usually very sensitive to the type of achievement function ... Linear and nonlinear programming to optimize the nutrient density of a population's diet: an ...

Nonlinear models are more complicated than linear models to develop because the function ... two variables with a straight line; nonlinear regression relates the variables using a curve. One ...