Integer programming, a cornerstone of combinatorial optimisation, focuses on the selection of discrete decision variables to solve complex real‐world problems such as scheduling, network design ...

Scientists in Japan have developed a model that predicts surplus PV generation and creates a route for optimized charging of ...

In recent decades, tools using mixed integer linear programming have become widely used in operations research.

Scientists in Japan have developed a model that predicts surplus solar generation and creates a route for optimised charging of electric delivery vehicles, defining their work as a practical blueprint ...

In recent decades, tools using mixed integer linear programming have become widely used in operations research. We applied these tools to simulate matches in ophthalmology using the actual applicant ...

To increase supply and reduce waste, this paper proposes a negotiation protocol based on a mixed-integer linear programming model, with several extensions to support the negotiation of blood products ...

The main reason to use Python is that you get a lot more options than what's included in most spreadsheets. Spreadsheets are ...

Absorptive Capacity,Active Control,Actuator,Air Power,Air Resistance,Autoregressive Model,Bilinear Terms,Calm Water,Control System,Data-driven Models,Deep Learning Models,Drag ...

The subject of this paper is a classification and discussion of algorithms for solution of nonlinear pure integer programming problems. The survey is organized by characterizing the mathematical form ...

Several actual model implementations are discussed which illustrate the practical application of the integer programming models. The model implementations utilize recent advances in integer ...