Dean F. Hougen
Affiliations: | School of Computer Science | University of Oklahoma, Norman, OK, United States |
Area:
Computer Science, Artificial IntelligenceGoogle:
"Dean Hougen"Parents
Sign in to add mentor| Maria L. Gini | grad student | (Robotree) | |
| James Robert Slagle | grad student | (Neurotree) |
Children
Sign in to add trainee| Pedro A. Diaz-Gomez | grad student | 2007 | University of Oklahoma |
| Brent E. Eskridge | grad student | 2009 | University of Oklahoma |
| Mark K. Woehrer | grad student | 2011 | University of Oklahoma |
BETA: Related publications
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Publications
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| Woehrer M, Hougen DF, Schlupp I. (2012) Sexual selection, resource distribution, and population size in synthetic sympatric speciation Artificial Life. 13: 137-144 |
| Woehrer M, Hougen DF, Schlupp I, et al. (2012) Robot-to-robot nurturing: A call to the research community 2012 Ieee International Conference On Development and Learning and Epigenetic Robotics, Icdl 2012 |
| Eskridge BE, Hougen DF. (2012) Nurturing promotes the evolution of learning in uncertain environments 2012 Ieee International Conference On Development and Learning and Epigenetic Robotics, Icdl 2012 |
| Crofford J, Eskridge BE, Hougen DF. (2010) Applying the triple parameter hypothesis to maintenance scheduling Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, Gecco '10. 799-806 |
| Eskridge BE, Hougen DF. (2010) Extending adaptive fuzzy behavior hierarchies to multiple levels of composite behaviors Robotics and Autonomous Systems. 58: 1076-1084 |
| Eskridge BE, Hougen DF. (2009) Using action abstraction to evolve effective controllers Proceedings of the 11th Annual Genetic and Evolutionary Computation Conference, Gecco-2009. 1773-1774 |
| Diaz-Gomez PA, Hougen DF. (2009) Three interconnected parameters for genetic algorithms Proceedings of the 11th Annual Genetic and Evolutionary Computation Conference, Gecco-2009. 763-770 |
| Diaz-Gomez PA, Hougen DF. (2009) Initial population diversity and performance independence International Conference On Artificial Intelligence and Pattern Recognition 2009, Aipr 2009. 64-69 |
| Troutman NP, Eskridge BE, Hougen DF. (2008) Is "Best-so-far" a good algorithmic performance metric? Gecco'08: Proceedings of the 10th Annual Conference On Genetic and Evolutionary Computation 2008. 1147-1148 |
| Diaz-Gomez PA, Hougen DF. (2008) Initial population diversity does not influence performance Proceedings of the 2008 International Conference On Genetic and Evolutionary Methods, Gem 2008. 55-63 |