In this article, we develop piecewise linear surrogates using Machine Learning (ML) models and the Optimization and ... the GDP to generate an efficient mixed-integer linear programming (MILP) ...

including gamma regression models appropriate for right skewed responses; logistic regression appropriate for categorical responses; and log-linear models appropriate for discrete responses (counts).

The programs adaptive structure and comprehensive features make data feeding and subsequent problem formulation ... ILOG CPLEX linear programming studio (From IBM) provides one of the fastest ways to ...

Model formulation Let x 1 be the number of mobile applications ... Conclusion We presented a model that uses linear programming to solve an operational problem in a software company by determining how ...

The mathematical formulations and algorithms for two-stage and multistage stochastic programming ... linear/nonlinear programming problems. Endogenous uncertainty is decision-dependent. Therefore, the ...

Industrial Process and Energy Systems Engineering, École Polytechnique Fédérale de Lausanne, Sion, Switzerland This research presents a mathematical formulation for optimizing ... using mixed-integer ...