Open Research Software and Data

Sat, 26 Sep 2026 00:00:00 +0000

Software and data are research outputs at IOLab. We develop reusable frameworks for implementing optimization algorithms and publish instances, validators, and experimental code so that results can be reproduced and extended.

Our main software projects include EasyLocal++, a C++ framework for local-search algorithms, and JuLES, its Julia counterpart. The group also maintains QuadProg++, a C++ implementation of the Goldfarb-Idnani quadratic-programming algorithm, and OptHub, a web platform for managing optimization instances and solutions.

Recent open datasets cover home healthcare routing and scheduling, periodic waste collection, electric-vehicle routing with nonlinear charging, oven scheduling, and educational timetabling. Source code and data are available through the IOLab GitHub organization.

EasyLocal

Wed, 01 Jan 2003 00:00:00 +0000

EasyLocal++ is an open-source C++ framework for the rapid development of local-search algorithms and metaheuristics. It provides reusable abstractions for solution states, neighborhoods, cost components, search runners, and combinations of optimization techniques.

Created at the University of Udine and continuously developed since 2003, the framework has supported research across IOLab’s application domains, from timetabling and scheduling to logistics and healthcare. Its architecture makes it possible to prototype new methods while retaining control over problem-specific data structures and performance.

EasyLocal++ also provided the technological foundation for EasyCourse, the commercial university timetabling system developed by EasyStaff, demonstrating how research software can progress from methodological work to operational use.

The source code and examples are available in the IOLab EasyLocal++ repository. The group also develops JuLES, a Julia framework based on the same approach.

Open Source Software | Intelligent Optimization Lab

Open Research Software and Data

EasyLocal