Integer and Linear Programming - Classic Solutions This repository is dedicated to implementing the main solution methods for Linear Programming (LP) and Integer Linear Programming (ILP). Using Python ...

In this note we use the concept of intersection cut, introduced by Balas for integer programming problems, to develop a cutting-plane algorithm for solving integer interval linear programming problems ...

For example, advances in the theory of valid inequalities for mixed integer linear programmes have elucidated the relationships among classical cutting plane families, such as lift-and-project ...

Integer Linear Programming (ILP) is an important mathematical approach for solving time-sensitive real-life optimization problems, including network routing, map routing, traffic scheduling, etc.

📌 Summary Developed a mathematical optimization model to improve hospital staffing using Linear and Integer Programming. Modeled cost-efficient schedules that respect shift coverage, contractual ...

Mixed-integer linear programming (MILP) is often used for system analysis and optimization as it presents a flexible and powerful method for solving large, complex problems such as the case with ...

The transmission expansion planning (TEP) problem in modern power systems is a large-scale, mixed-integer, non-linear and non-convex problem. Although remarkable advances have been made in ...

Test Assembly Using Mixed-Integer Linear Programming In cognitive diagnosis, the probability of correct answer or the expected vector of item response of knowledge state α c on test length of J in a ...