Researchers have used mixed-integer linear programming-based multi-objective optimization to optimize 30,912 unique scenarios showing heat pumps operating in combination with PV power. The ...

By using ML surrogates to predict required system costs and performance indicators, we can approximate the nonlinearities in the GDP to generate an efficient mixed-integer linear programming (MILP) ...

ABSTRACT: This study proposes a novel approach to optimizing individual work schedules for book digitization using mixed-integer programming (MIP). By leveraging the power of MIP solvers, we aimed to ...

This package is an extension of SageMath's mixed integer linear programming facilities described at http://doc.sagemath.org/html/en/reference/numerical/index.html It ...

Many important practical computations, such as scheduling, combinatorial, and optimization problems, use techniques known as integer programming to find the best combination of many variables. In ...

Mixed-integer linear programming was used with the following decision variables: creating a second shift, purchasing additional equipment, determining the required work force, and other alternatives ...