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 ...

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. We applied these tools to simulate matches in ophthalmology using the actual applicant ...

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 ...

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

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

As AI technology increasingly amalgamates into the medical arena, health system leaders are stepping up to help steer the path forward. Women comprise only 30% of those working in AI today, and ...

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Operational risk summarizes the risks a company faces in conducting its daily business activities, procedures, and systems.

As one of the most critical components in modern LP solvers, presolve in linear programming (LP) employs a rich set of presolvers to remove different types of redundancy in input problems by ...