Genetic Programming Bibliography entries for Torsten Hildebrandt

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GP coauthors/coeditors: Jurgen Branke, Bernd Scholz-Reiter, Matthew J Groves, Michael Freitag, Jens Heger, Debkalpa Goswami, Christoph Pickardt,

Genetic Programming Articles by Torsten Hildebrandt

  1. Michael Freitag and Torsten Hildebrandt. Automatic design of scheduling rules for complex manufacturing systems by multi-objective simulation-based optimization. \CIRP\ Annals - Manufacturing Technology, 65(1):433-436, 2016. details

  2. Torsten Hildebrandt and Juergen Branke. On Using Surrogates with Genetic Programming. Evolutionary Computation, 23(3):343-367, 2015. details

  3. Juergen Branke and Torsten Hildebrandt and Bernd Scholz-Reiter. Hyper-heuristic Evolution of Dispatching Rules: A Comparison of Rule Representations. Evolutionary Computation, 23(2):249-277, 2015. details

  4. Christoph W. Pickardt and Torsten Hildebrandt and Jurgen Branke and Jens Heger and Bernd Scholz-Reiter. Evolutionary generation of dispatching rule sets for complex dynamic scheduling problems. International Journal of Production Economics, 145(1):67-77, 2013. details

Genetic Programming conference papers by Torsten Hildebrandt

  1. Juergen Branke and Matthew J. Groves and Torsten Hildebrandt. Evolving control rules for a dual-constrained job scheduling scenario. In 2016 Winter Simulation Conference (WSC), pages 2568-2579, 2016. details

  2. Torsten Hildebrandt and Debkalpa Goswami and Michael Freitag. Large-scale simulation-based optimization of semiconductor dispatching rules. In Winter Simulation Conference (WSC 2014), pages 2580-2590, 2014. details

  3. Christoph Pickardt and Juergen Branke and Torsten Hildebrandt and Jens Heger and Bernd Scholz-Reiter. Generating dispatching rules for semiconductor manufacturing to minimize weighted tardiness. In Proceedings of the 2010 Winter Simulation Conference (WSC), pages 2504-2515, 2010. details

  4. Torsten Hildebrandt and Jens Heger and Bernd Scholz-Reiter. Towards improved dispatching rules for complex shop floor scenarios: a genetic programming approach. In 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 editors, GECCO '10: Proceedings of the 12th annual conference on Genetic and evolutionary computation, pages 257-264, Portland, Oregon, USA, 2010. ACM. details