activity
20132017
most citedjson2run: a tool for experiment design & analysis

15 citations · 22 across the 4 of their papers we have counts for

collaborators

5 papers

math.OC2017

A general and scalable matheuristic for fleet design

Francesco Bertoli, Philip Kilby, Tommaso Urli

We look at the problem of choosing a fleet of vehicles to carry out delivery tasks across a very long time horizon -- up to one year. The delivery quantities may vary markedly day…

cs.AI2016★ 2 cited

Fleet Size and Mix Split-Delivery Vehicle Routing

Arthur Mahéo, Tommaso Urli, Philip Kilby

In the classic Vehicle Routing Problem (VRP) a fleet of of vehicles has to visit a set of customers while minimising the operations' costs. We study a rich variant of the VRP featu…

cs.AI2014

Feature-based tuning of simulated annealing applied to the curriculum-based course timetabling problem

Ruggero Bellio, Sara Ceschia, Luca Di Gaspero +2

We consider the university course timetabling problem, which is one of the most studied problems in educational timetabling. In particular, we focus our attention on the formulatio…

cs.AI2013★ 5 cited

Balancing bike sharing systems (BBSS): instance generation from the CitiBike NYC data

Tommaso Urli

Bike sharing systems are a very popular means to provide bikes to citizens in a simple and cheap way. The idea is to install bike stations at various points in the city, from which…

cs.CE2013★ 15 cited

json2run: a tool for experiment design & analysis

Tommaso Urli

json2run is a tool to automate the running, storage and analysis of experiments. The main advantage of json2run is that it allows to describe a set of experiments concisely as a JS…