This course continues our data structures and algorithms specialization by focussing on the use of linear and integer programming formulations for solving algorithmic problems that seek optimal ...

Cutting-edge algorithms, including integer linear programming formulations, metaheuristics, and hybrid methods that integrate data-driven techniques with traditional optimisation, have been ...

General Description This repository is made thinking on analyzing the solving of the roman domination problem with integer linear programming and mixed integer linear programming approaches.

Linear programming is being increasingly used in many countries in the determination of least-cost livestock rations subject to certain quality specifications. In this example, the technique is ...

Linear programming representations for discrete-event simulation provide an alternative approach for analyzing discrete-event simulations. This paper presents several formulations for G/G/m queues and ...

This paper examines the polytope of feasible power generation schedules for Self Scheduling problems. We introduce a new class of inequalities for the linear programming relaxation, giving a tighter ...