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 ...

The algorithms and software tools for solving large-scale NP-hard MILP (mixed-integer linear programming) problems are analyzed, specifically focusing on the modeling of electric power systems arising ...

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

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

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

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 ...

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 ...