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 ...

The model is constructed based on two-dimensional, dynamic, canonical section-wise piecewise-linear ... polynomial functions, the proposed model permits a vastly extended modeling space for PAs under ...

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 ...

Abstract: This paper presents the stability analysis of polynomial fuzzy-model ... linear membership functions (PLMFs) are proposed, which offer a nice property that the grades of membership are ...