Most recently, Avraamidou and Pistikopoulos (2019a) have developed a freely accessible toolbox for the solution of bilevel and trilevel, continuous and mixed-integer, linear and quadratic optimization ...

Many state-of-the-art Segment Routing (SR) Traffic Engineering (TE) algorithms rely on Linear Program (LP)-based optimization. However, the poor scalability of the latter and the resulting high ...

Topics include the fundamentals of linear programming, integer programming, nonlinear programming, mixed-integer nonlinear programming, and stochastic programming. The focus is on the application of ...

Researchers utilize mixed-integer linear programming and nonlinear programming formulations for neural networks, tree ensembles, and decision trees. (9,35,36) Additionally, several tools such as the ...

The multiperiod blend scheduling problem has a wide variety of engineering applications and is typically formulated as a nonconvex mixed-integer nonlinear program (MINLP). Such an MINLP is challenging ...

Linear Programming: Basics, Simplex Algorithm, and Duality. Applications of Linear Programming: regression, classification and other engineering applications. Integer Linear Programming: Basics, ...