Operations Research, Mathematical Optimization, Applied Mathematics
|PI: María Merino Maestre
|Co-IP: M. Araceli Garín Martín
Unai Aldasoro Marcellán, Larraitz Aranburu Laka, Mª Isabel Eguia Ribero, Laureano F. Escudero Bueno, Imanol Gago Carro, Gorka Kobeaga Urriolabeitia, Celeste Pizarro Romero, Aitziber Unzueta Inchaurbe
Combinatorial optimization, stochastic optimization, risk-management, exact and heuristic algorithms
The Stochastic Optimization Group is a research group in mathematical optimization, deterministic and under uncertainty. We are focused in the theoretical and applied development of the optimization techniques, the design and implementation of algorithms for solving large-scale combinatorial optimization problems as well as stochastic multistage mixed 0-1 and quadratic problems. Moreover, we are interested in the development of efficient methodologies for obtaining optimal or quasioptimal bounds. This group research also in modeling risk averse environments. We use parallel computing with MPI and C++ with optimization software like COIN-OR and CPLEX. With respect to applications, we are interested in solving real problems on routing, assignment, location, distribution and logistics, in the following sectors: sanitary, energy and humanitarian emergency, among others.
Lines of Research
• Computational Services from SGI/IZO-SGIker computatonal cluster ARINA (UPV/EHU, GV/EJ, ERDF eta ESF)