Eye-Tracking Evolutionary Algorithm to minimize user's fatigue in IEC applied to Interactive One-Max problem

Denis Pallez, Philippe Collard, Thierry Baccino, Laurent Dumercy

Open source

DOI
10.1145/1274000.1274098
Published
2008-03-21T16:11:38Z
Container
Dans Proceedings of the 2007 GECCO conference companion on Genetic and evolutionary computation - GECCO '07: the 2007 GECCO conference companion on Genetic and evolutionary computation, London : Royaume-Uni (2007)
Publisher
arXiv
Open access
yes

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BibTeX

@article{allodium:10.1145/1274000.1274098,
  title = {Eye-Tracking Evolutionary Algorithm to minimize user's fatigue in IEC applied to Interactive One-Max problem},
  author = {Denis Pallez and Philippe Collard and Thierry Baccino and Laurent Dumercy},
  year = {2008},
  journal = {Dans Proceedings of the 2007 GECCO conference companion on Genetic and evolutionary computation - GECCO '07: the 2007 GECCO conference companion on Genetic and evolutionary computation, London : Royaume-Uni (2007)},
  doi = {10.1145/1274000.1274098},
  url = {https://doi.org/10.1145/1274000.1274098}
}

RIS

TY  - JOUR
TI  - Eye-Tracking Evolutionary Algorithm to minimize user's fatigue in IEC applied to Interactive One-Max problem
AU  - Denis Pallez
AU  - Philippe Collard
AU  - Thierry Baccino
AU  - Laurent Dumercy
PY  - 2008
JO  - Dans Proceedings of the 2007 GECCO conference companion on Genetic and evolutionary computation - GECCO '07: the 2007 GECCO conference companion on Genetic and evolutionary computation, London : Royaume-Uni (2007)
DO  - 10.1145/1274000.1274098
UR  - https://doi.org/10.1145/1274000.1274098
ER  - 

APA

Pallez, D., Collard, P., Baccino, T., & Dumercy, L. (2008). Eye-Tracking Evolutionary Algorithm to minimize user's fatigue in IEC applied to Interactive One-Max problem. Dans Proceedings of the 2007 GECCO conference companion on Genetic and evolutionary computation - GECCO '07: the 2007 GECCO conference companion on Genetic and evolutionary computation, London : Royaume-Uni (2007). https://doi.org/10.1145/1274000.1274098

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