The Optimization and Problem Solving Laboratory is engaged in the field of continuous and discrete mathematical optimization models and methods, through the development and/or use of prototypical and/or commercial software for solving combinatorial and network optimization problems (path, flow, covering, localization, design, routing, scheduling).

The main application sectors of interest relate to the management and control of territorial systems at urban and regional scales (mobility, logistics, security) and systems for the production of goods and services (optimization of industrial processes, facility location, protection of critical infrastructure).

Areas of interest in the management and control of territorial systems include:

• Strategies for traffic control and online management of traffic light regulation systems, based on mathematical programming and logic programming.
• Facility location for infomobility (sensors and variable message signs).
• Multi-level distribution systems in urban logistics.
• Monitoring and control systems for urban area protection.
• Evacuation of an area affected by a natural disaster.

Areas of interest in the production of goods and services include:

• Optimal wiring of the electrical components of a vehicle.
• Multidimensional cutting and packing.
• Production scheduling.
• Protection of critical infrastructure.

The Laboratory is also involved in the field of logical-mathematical learning through training activities aimed at teachers and students of secondary schools at both lower and upper levels.

The OPS Lab is also engaged in conducting courses on Operations Research, Optimization, and Operations Research 2, taught by its members, through the use of commercial and/or prototypical software for solving continuous and discrete optimization problems, during exercises and thesis projects.