New results on design and optimization problems in complex networks: Applications to the design of smart cities

PI: Justo Puerto Albandoz

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