Hasso-Plattner-Institut
Prof. Dr. Tobias Friedrich
 

Publications of Hans Gawendowicz

The following listing contains all publications of Hans Gawendowicz. Further publications of the research group can be found on the current list of publications and the complete list of publications. Individual listings are available locally as PDF.

[ 2023 ] [ 2022 ] [ 2021 ] [ 2019 ]

2023 [ nach oben ]

  • Social Distancing Network... - Download
    Friedrich, Tobias; Gawendowicz, Hans; Lenzner, Pascal; Melnichenko, Anna Social Distancing Network CreationAlgorithmica 2023
     
  • Temporal Network Creation... - Download
    Bilò, Davide; Cohen, Sarel; Friedrich, Tobias; Gawendowicz, Hans; Klodt, Nicolas; Lenzner, Pascal; Skretas, George Temporal Network Creation GamesInternational Joint Conference on Artificial Intelligence (IJCAI) 2023: 2511–2519
     
  • The Impact of Cooperation... - Download
    Friedrich, Tobias; Gawendowicz, Hans; Lenzner, Pascal; Zahn, Arthur The Impact of Cooperation in Bilateral Network CreationACM Symposium on Principles of Distributed Computing (PODC) 2023
     

2022 [ nach oben ]

  • Social Distancing Network... - Download
    Friedrich, Tobias; Gawendowicz, Hans; Lenzner, Pascal; Melnichenko, Anna Social Distancing Network CreationInternational Colloquium on Automata, Languages and Programming (ICALP) 2022: 62:1–62:21
     

2021 [ nach oben ]

  • Efficiency and Stability ... - Download
    Friedemann, Wilhelm; Friedrich, Tobias; Gawendowicz, Hans; Lenzner, Pascal; Melnichenko, Anna; Peters, Jannik; Stephan, Daniel; Vaichenker, Michael Efficiency and Stability in Euclidean Network DesignSymposium on Parallelism in Algorithms and Architectures (SPAA) 2021: 232–242
     

2019 [ nach oben ]

  • Mixed Integer Programming... - Download
    Peters, Jannik; Stephan, Daniel; Amon, Isabel; Gawendowicz, Hans; Lischeid, Julius; Salabarria, Julius; Umland, Jonas; Werner, Felix; Krejca, Martin S.; Rothenberger, Ralf; Kötzing, Timo; Friedrich, Tobias Mixed Integer Programming versus Evolutionary Computation for Optimizing a Hard Real-World Staff Assignment ProblemInternational Conference on Automated Planning and Scheduling (ICAPS) 2019: 541–554