Algorithms and Complexity Group
  • People
  • Research
  • Courses
  • Talks
  • Jobs
  • Contact

Cooperative Optimization Approaches for Distributing Service Points (Research Project)

a joined research project from the Algorithms and Complexity Group, TU Wien, Austria, and Honda Research Institute, Germany

Project Team

Thomas Jatschka
Günther Raidl
Tobias Rodemann

Topic

For many business models an optimal distribution of service points in a customer community is needed. Examples are charging/battery swapping stations of electric vehicles, bicycle/car sharing stations, and repair stations. When planning such systems, estimating under which conditions which customer demand can be fulfilled is fundamental in order to design and evaluate possible solutions. To this end, demographic data is usually interlinked with geographic information, data on public transport, the street network, knowledge on manifold special locations etc. Usually, the whole process is challenging and error-prone. Customer demand information determined in such ways typically is vague, and not uncommonly a system built on such assumptions is not as effective as originally hoped for due to major deviations in reality.

To possibly improve this situation, we propose a cooperative optimization approach that incorporates potential users on a large scale and more tightly into the data acquisition as well as the optimization process. We confront the potential customers with certain location scenarios and ask them how these would suit his needs and how possibly these scenarios can be improved to fulfill more of his demand. This feedback is used to incrementally gain more knowledge about how much demand may be fulfilled under which conditions. New, more promising candidate location scenarios can then be derived and again be presented to the users. The process is iterated on a large scale with many potential users and many rounds until a satisfactory solution is reached.

The figure below depicts the components of the framework of our cooperative optimization approach and their interaction. The general framework consists of the following components: an evaluation component (EC), an optimization component (OC), a feedback component (FC), and a solution management component (SMC).

News

  • Best paper award at EvoCOP 2022

    Best paper award at EvoCOP 2022

    2022-05-24
    Jonas Mayerhofer, Markus Kirchweger, Marc Huber, and Günther Raidl received the best paper award for their work A Beam Search …Read More »
  • New PhD: Guangping Li

    New PhD: Guangping Li

    2022-05-13
    Guangping Li successfully defended her PhD thesis “An Algorithmic Study of Practical Map Labeling” on May 13, 2022. Congratulations, Dr. …Read More »
  • Outstanding results for TU Wien students at the 2021 Graph Drawing Contest

    Outstanding results for TU Wien students at the 2021 Graph Drawing Contest

    2021-09-24
    The 28th Annual Graph Drawing Contest, a long running tradition of the graph drawing research community, was held in conjunction …Read More »
  • Jan Dreier receives a LICS’21 Distinguished Paper Award

    Jan Dreier receives a LICS’21 Distinguished Paper Award

    2021-07-02
    Congratulations to Jan Dreier for his LICS 2021 Distinguished Paper Award for his paper Lacon- and Shrub-Decompositions: A New Characterization …Read More »
  • Lecture at Austrian Parliament

    Lecture at Austrian Parliament

    2021-06-16
    Stefan Szeider and Martin Kronegger gave a lecture on Algorithms and Programming to members of the Austrian Parliament. The lecture …Read More »

News archive

All news for 2015, 2016, 2017, 2018, 2019, 2020 and 2021.
TU Wien Informatics
Offenlegung (§25 MedienG) Inhaber der Website ist das Institut für Logic and Computation an der Technischen Universität Wien, 1040 Wien. Die TU Wien distanziert sich von den Inhalten aller extern gelinkten Seiten und übernimmt diesbezüglich keine Haftung. – Disclaimer – Datenschutzerklärung
Log in requires cookies.