Towards improved dispatching rules for complex shop floor scenarios: a genetic programming approach

Created by W.Langdon from gp-bibliography.bib Revision:1.3963

@InProceedings{Hildebrandt:2010:gecco,
  author =       "Torsten Hildebrandt and Jens Heger and 
                 Bernd Scholz-Reiter",
  title =        "Towards improved dispatching rules for complex shop
                 floor scenarios: a genetic programming approach",
  booktitle =    "GECCO '10: Proceedings of the 12th annual conference
                 on Genetic and evolutionary computation",
  year =         "2010",
  editor =       "Juergen Branke and Martin Pelikan and Enrique Alba and 
                 Dirk V. Arnold and Josh Bongard and 
                 Anthony Brabazon and Juergen Branke and Martin V. Butz and 
                 Jeff Clune and Myra Cohen and Kalyanmoy Deb and 
                 Andries P Engelbrecht and Natalio Krasnogor and 
                 Julian F. Miller and Michael O'Neill and Kumara Sastry and 
                 Dirk Thierens and Jano {van Hemert} and Leonardo Vanneschi and 
                 Carsten Witt",
  isbn13 =       "978-1-4503-0072-8",
  pages =        "257--264",
  keywords =     "genetic algorithms, genetic programming, Combinatorial
                 optimization and metaheuristics",
  month =        "7-11 " # jul,
  organisation = "SIGEVO",
  address =      "Portland, Oregon, USA",
  DOI =          "doi:10.1145/1830483.1830530",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstract =     "Developing dispatching rules for manufacturing systems
                 is a process, which is time- and cost-consuming. Since
                 there is no good general rule for different scenarios
                 and objectives automatic rule search mechanism are
                 investigated. In this paper an approach using Genetic
                 Programming (GP) is presented. The priority rules
                 generated by GP are evaluated on dynamic job shop
                 scenarios from literature and compared with manually
                 developed rules yielding very promising results also
                 interesting for Simulation Optimisation in general.",
  notes =        "hyperheuristic

                 Entered 2010 HUMIES GECCO 2010
                 http://www.genetic-programming.org/combined.php

                 Also known as \cite{1830530} GECCO-2010 A joint meeting
                 of the nineteenth international conference on genetic
                 algorithms (ICGA-2010) and the fifteenth annual genetic
                 programming conference (GP-2010)",
}

Genetic Programming entries for Torsten Hildebrandt Jens Heger Bernd Scholz-Reiter

Citations