Abstract: The goal of this project is to address theoretical results, methodology and procedures to solve large scale optimization problems. Specifically, we merge tools from complex networks and data science to approach challenging problems in the design and optimization of different network problems including huge amount of data.
Implied entities: Universidad de Sevilla (Programa Operativo FEDER 2014-2020 y Consejería de Economía, Conocimiento, Empresas y Universidad de la Junta de Andalucía). US-1256951.
iMAT research line: ⊕ RL5. Optimization and mathematical programming
Researchers:
Víctor Blanco Izquierdo
María Isabel Hartillo
Yolanda Hinojosa Bergillos
Miguel Angel Pozo Montaño
Begoña Salamanca Miño
José María Ucha Enríquez
Alberto Japón Sáez
Federico Perea Rojas-Marcos
Diego Ponce López
Federica Ricca
Moisés Rodríguez Madrena
Andrea Scozzari
Marina Leal Palazón
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