Our algorithm is capable of analyzing data from available resources and providing the most accurate results for each situation.

It can also offer traffic predictions and future demand forecasts, enabling you to plan your clients' needs well in advance to deliver the best service, always in real time.

The problems addressed in this project required the use of Mathematical Optimization tools for their modeling and subsequent resolution. Specifically, various Mathematical Programming formulations were developed to model these problems, analyzed from the perspective of linear and nonlinear Integer Programming.

To solve them, we developed efficient exact algorithms using both decomposition techniques and smart enumeration methods. For large-scale problems, heuristic and Matheuristic algorithms were proposed, incorporating Machine Learning techniques to handle large volumes of data.

You can manage and share content related to the specific work being carried out across all devices and the cloud, ensuring file traceability and process security at all times.

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