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 ...

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 ...

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

This repository contains the implementation of an optimized university timetabling system using Integer Linear Programming (ILP) techniques. The system aims to efficiently allocate classrooms, ...

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.

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 ...

Traffic signals can be synchronized so that a car, starting at one end of a main artery and traveling at preassigned speeds, can go to the other end without stopping for a red light. The portion of a ...

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 ...

Formulate linear and integer programming problems for solving commonly encountered optimization problems. Understand how approximation algorithms compute solutions that are guaranteed to be within ...