@inproceedings{5678,
  abstract     = {{Many academic disciplines - including information systems, computer science, and operations management - face scheduling problems as important decision making tasks. Since many scheduling problems are NP-hard in the strong sense, there is a need for developing solution heuristics. For scheduling problems with setup times on unrelated parallel machines, there is limited research on solution methods and to the best of our knowledge, parallel computer architectures have not yet been taken advantage of. We address this gap by proposing and implementing a new solution heuristic and by testing different parallelization strategies. In our computational experiments, we show that our heuristic calculates near-optimal solutions even for large instances and that computing time can be reduced substantially by our parallelization approach.}},
  author       = {{Rauchecker, Gerhard and Schryen, Guido}},
  booktitle    = {{Australasian Conference on Information Systems}},
  keywords     = {{scheduling, decision support, heuristic, high performance computing, parallel algorithms}},
  pages        = {{1--13}},
  title        = {{{High-Performance Computing for Scheduling Decision Support: A Parallel Depth-First Search Heuristic}}},
  year         = {{2015}},
}

@inproceedings{9889,
  abstract     = {{A measurement method is presented that combines the advantages of the multisine measurement technique with a prediction method for peak bending behavior. This combination allows the analysis of the dynamic behavior of mechanical structures at distinctly reduced measurement durations and has the advantage of reducing high excitation impacts on the structure under test.}},
  author       = {{Sprock, Christian and Sextro, Walter}},
  booktitle    = {{Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, 2014 IEEE International}},
  keywords     = {{bending, dynamic testing, measurement, structural engineering, vibrations, measurement durations, mechanical structures, multisine measurement technique, nonlinear peak bending behavior, prediction method, time-efficient dynamic analysis, Heuristic algorithms, Nonlinear systems, Oscillators, Time measurement, Time-frequency analysis, Vibrations}},
  pages        = {{320--324}},
  title        = {{{Time-efficient dynamic analysis of structures exhibiting nonlinear peak bending}}},
  doi          = {{10.1109/I2MTC.2014.6860760}},
  year         = {{2014}},
}