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Comparison of nature inspired and deterministic scheduling heuristics considering optimal schedules

  • Udo Hönig
  • Wolfram Schiffmann

Abstract

We report about a performance evaluation of nature inspired stochastic vs. conventional deterministic scheduling algorithms. By means of a comprehensive test bench, that comprises task graphs with diverse properties, we determined the absolute performance of those algorithms with respect to the optimal solutions. Surprisingly, the nature inspired stochastic algorithms outperformed all the investigated deterministic algorithms.

Keywords

Simulated Annealing Test Bench Optimal Schedule Deterministic Algorithm Task Graph 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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Copyright information

© Springer-Verlag/Wien 2005

Authors and Affiliations

  • Udo Hönig
    • 1
  • Wolfram Schiffmann
    • 1
  1. 1.Lehrgebiet RechnerarchitekturFernUniversität HagenHagenGermany

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