A genetic programming approach to solve scheduling problems with parallel simulation

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@InProceedings{Beham:2008:ieeeIPDPS,
  author =       "Andreas Beham and Stephan Winkler and 
                 Stefan Wagner and Michael Affenzeller",
  title =        "A genetic programming approach to solve scheduling
                 problems with parallel simulation",
  booktitle =    "IEEE International Symposium on Parallel and
                 Distributed Processing, IPDPS 2008",
  year =         "2008",
  month =        apr,
  pages =        "1--5",
  keywords =     "genetic algorithms, genetic programming, dispatching,
                 fitness evaluation, parallel simulation, production
                 planning, scheduling problem, dispatching, production
                 planning, scheduling",
  DOI =          "doi:10.1109/IPDPS.2008.4536379",
  DOI =          "doi:10.1109/IPDPS.2008.4536362",
  ISSN =         "1530-2075",
  abstract =     "Scheduling and dispatching are two ways of solving
                 production planning problems. In this work, based on
                 preceding works, it is explained how these two
                 approaches can be combined by the means of an automated
                 rule generation procedure and simulation. Genetic
                 programming is applied as the creator and optimizer of
                 the rules. A simulator is used for the fitness
                 evaluation and distributed over a number of machines.
                 Some example results suggest that the approach could be
                 successfully applied in the real world as the results
                 are more than human competitive.",
  notes =        "Also known as \cite{4536379} \cite{4536362}",
}

Genetic Programming entries for Andreas Beham Stephan M Winkler Stefan Wagner Michael Affenzeller

Citations