json2run: a tool for experiment design & analysis. 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 JSON-formatted parameter tree. It also supports parallel execution of experiments, automatic parameter tuning through the F-Race framework and storage and analysis of experiments with MongoDB and R.
Keywords for this software
References in zbMATH (referenced in 4 articles )
Showing results 1 to 4 of 4.
- Battistutta, Michele; Schaerf, Andrea; Urli, Tommaso: Feature-based tuning of single-stage simulated annealing for examination timetabling (2017)
- Bonutti, Alex; Ceschia, Sara; De Cesco, Fabio; Musliu, Nysret; Schaerf, Andrea: Modeling and solving a real-life multi-skill shift design problem (2017)
- Bellio, Ruggero; Ceschia, Sara; Di Gaspero, Luca; Schaerf, Andrea; Urli, Tommaso: Feature-based tuning of simulated annealing applied to the curriculum-based course timetabling problem (2016)
- Kilby, Philip; Urli, Tommaso: Fleet design optimisation from historical data using constraint programming and large neighbourhood search (2016)