Vehicle routing problem with information collection in wireless networks

24 September 2019

FORMULAIRE STAGE 2020 Title Vehicle routing problem with information collection in wireless networks Person proposing the project (tutor) Rosa Figueiredo (rosa.figueiredo@univ-avignon.fr); Francesco Di Pellegrini (francesco.de-pellegrini@univ-avignon.fr) Location of the internship LIA-CERI, Avignon (ceri.univ-avignon.fr) Description of the stage: Context: The trainee will study a routing-collecting problem where a system of stations is considered. A vehicle is responsible for collecting information generated continuously in the stations and to deliver it to the base station. The objective is to determine the vehicle route and the collection operations, both physical and wireless, in order to maximize the amount of information collected during a time horizon. Many works in the literature have address vehicle routing problems in the presence of wireless transmission. However, most of them focusing on the study of protocols/policies for routing and data collection. Only a small set of works addresses the development of vehicle routing strategies, most cases, in a two-phase manner (see [2]). This work will help to fill this gap focusing on the design of a vehicle route from scratch together with a wireless transmission planning. Recently, in a previous work [1], we introduced three mixed integer programming (MIP) models for this problem. An extensive computational study was reported to Plus d'infos

Robot Social Dialoguant Perceptuellement Guidé

16 September 2019

Robot Social Dialoguant Perceptuellement Guidé [embeddoc url=”https://lia.univ-avignon.fr/wp-content/uploads/sites/26/2019/09/formulaire-stage_FL20PerceptionHRIFL.pdf” download=”all”] (Prof. Lefevre et B. Jabaian)

ANR DeCoMaP Project

1 September 2019

DeCoMaP: Detecting Corruption in Public Procurement The societal benefits of opening up public data are expected to be huge. This is particularly true with Public Procurement Data which are supposed to help discover and dismantle corrupt activities by facilitating critical information, tools, and mechanism for judicial enforcement. In a multidisciplinary project, bridging computer science, economics and law, DeCoMap is intended to collect, process and analyze French procurement data in order to create a software tool for automatic identification of corruption and fraud in public procurement (automated red flagging) and provide normative analytical grid by highlighting the main factors that public authorities should identify and pay attention to. Supported by Transparency International France and Open Contracting Partnership, DeCoMap brings together academic researchers from 7 universities, with strong expertise in procurement and digital law, procurement economics and econometrics, law and economics, graph optimization and complex network analysis. 4 members of Datactivist, a cooperative company that assists organizations from the public, private and non-profit sectors in producing and re-using Open Data, with strong expertise with open data of public procurement, open contracting and open government, complement the consortium. Date: 2019–2024 Website: https://decomap.univ-avignon.fr ANR page: https://anr.fr/Projet-ANR-19-CE38-0004