## Problems addressed

MSTAR::UNEX is focused on the resolution of optimization problems in the communications field. For this purpose, we use multiobjective metaheuristics along with parallelism-based technologies (cluster computing, reconfigurable computing) and grid computing. We wil also study the combination among metaheuristic techniques (hybridization) and the use of problem-aware operations.

Multi-objective communications-centric optimization problems addressed in MSTAR::UNEX node:

**FAP** (Frequency Assignment Problem, improving the assignment of radiocommunication frequencies in wireless networks).

**MANETs** (Mobile Ad-hoc NETworks, tuning the broadcasting service on mobile ad-hoc networks).

**RND** (Radio Network Design, optimizing the design of radiofrequency networks).

**RTINT** (Network Design for Real Traffic Models of the Internet).

**RWA** (Routing and Wavelength Assignment Problem in Optical WDM Networks).

**TG** (Traffic Grooming in Optical Networks).

**WSNOPT** (Energy-Efficiency in Heterogeneous Wireless Sensor Networks).

Techniques and tools used for solving the above mentioned problems:

- Parallel and distributed computing.
- Reconfigurable and embedded computing.