Projects

IOLab participates in competitive research projects, international networks, and collaborations with public organizations and industry. These initiatives turn optimization research into methods, software, datasets, and decision-support tools for real operational problems.

For the broader scientific themes behind this work, see our research areas.

FAIR — MaPSART
Massive Parallelism Serving Automated Reasoning Tasks within the PNRR FAIR programme.
FAIR — MaPSART
ROAR-NET
A European research network advancing randomized optimization algorithms, modelling tools, and shared interfaces.
Project website
ROAR-NET
SAFE
A real-time damage assessment and decision-support system for passenger ships.
PDF Video
SAFE
IMHO
Models and algorithms for the optimization of integrated healthcare management.
Smart Waste Collection
Models, algorithms, and open datasets for sustainable waste collection with electric-vehicle fleets.
EasyNet
Data-driven simulation and optimization for emergency medical services in Friuli Centrale.
EasyNet
Industrial Production Scheduling
Optimization and decision-support methods for energy-aware and large-scale production scheduling.
Code
EasyLocal
An open-source C++ framework for developing and combining local-search algorithms.
Code