This repository contains instances of a Non-Periodic Integrated Timetabling and Vehicle Scheduling Problem (ITTVS) with a mixed fleet of electric and internal combustion engines vehicles. The problem and this data has been developed by personnel of M.A.I.O.R. S.r.l. in collaboration with personnel of the Dipartimento di Informatica dell'Universitá di Pisa for the purpose of the Scientific Challenge of the H2020 project MINOA - Mixed-Integer Nonlinear Optimization Algorithms.
To cite this material, please cite this repository, using the following DOI:
One possible BibTeX entry is as follows;
@misc{MINOA2022 ,
author = {Samuela Carosi and Antonio Frangioni and
Lorenzo Frangioni and Francesco Geraci} ,
title = {MINOA Challenge Documentation and Instances} ,
year = {2022} ,
url = {https://github.com/frangio68/MINOA_Research_Challenge} ,
doi = {10.5281/zenodo.6210144}
}
Three variants of the problem have been devised, of increasing complexity, for three different categories of participants: "Junior", "Senior", and "Professional". Accordingly, the doc folder contains three different files which describe the Junior, Senior, and Professional different but closely related variants of the problem. A unique file describes the format of the provided JSON input files and required output files, detailing where the three variants differ. Finally, one file describes the rules of the challenge, although these are of little use as of now.
The instances folder contains the two sub-folders test and challenge; the first contains the instances released during the preliminary phase of the challenge to let the teams test the waters, while the second contains the instances released during the final phase for the purpose of actual scoring. Each of these folders in turn contains the three sub-folders "Junior", "Senior" and "Professional", each of which contains what basically are the same instances, except restricted to the subset of the data required by the simpler versions of the problem in the case of the "Junior" and "Senior" ones.
Neither solution data nor information about the challenge results is released here; interested readers can refer to the appropriate MINOA web page.
The material has been entirely developed by employees of M.A.I.O.R. S.r.l. in collaboration with personnel of the Dipartimento di Informatica dell'Universitá di Pisa.
This data and the accompanying documents are provided free of charge under the Creative Commons Attribution 4.0 International License (CC BY 4.0); see the LICENSE file for details.
MINOA has received funding from the Europeans Union's EU Framework Programme for Research and Innovation Horizon 2020 under the Marie Skłodowska-Curie Actions Grant Agreement No 764759. Samuela Carosi and Antonio Frangioni are personally very grateful to Etienne de Klerk for bravely volunteering for the role of member of the Award Committee. The Challenge Team is grateful to the MINOA Supervisory Board, and in particular to the Project Coordinator Frauke Liers, for their unrelenting support to the Challenge during these complicated times. Specific kudos to Dennis Adelhütte for his collaboration, in particular regarding the management of the MINOA web pages.