The Networks research line develops optimization methods, algorithms, and decision-support tools for planning and resource allocation problems. Its work addresses large-scale systems with high operational complexity, with applications in strategic sectors for Chile and Latin America, such as logistics, transportation, mining, energy, and supply chains.
The group maintains a close connection with the productive sector, focusing its work on real-world, high-impact problems. Beyond the development of mathematical models, the research line places particular emphasis on the methodologies required to transform algorithmic advances into effectively usable tools. This includes aspects such as progressive validation with users, integration with existing operational processes, the handling of real-world data, computational robustness, and the iterative design of solutions.
The line combines techniques from optimization, operations research, data analysis, and artificial intelligence to develop decision-support technologies capable of evolving from initial prototypes into operational tools. Several of the methodologies developed by the team have been validated and implemented in real-world environments, enabling the establishment of long-term collaborations with companies and public institutions.
The team brings together academics and professionals with experience in both research and applied development. In addition to generating new methodologies, the line seeks to contribute to the development of advanced capabilities in optimization and technology transfer, strengthening the link between scientific research and productive challenges relevant to the country.