Libraries of Problems

Mixed Integer Nonlinear Programming (MINLP) is a modeling framework that allows the modeling of discrete and continuous optimization problems that involve linear and/or nonlinear functions.

Generalized Disjunctive Programming (GDP) has been proposed by Raman and Grossmann (1994) as a framework to model discrete/continuous optimization problems using linear and/or nonlinear algebraic and logical equations through disjunctions and logic propositions that are expressed in terms of Boolean and continuous variables.