PUB - Publikationen an der Universität Bielefeld

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• [7]
  

  2019 | Bielefelder E-Dissertation | PUB-ID: 2934979

  Richter, A., 2019. Evolvability-guided Optimization of Linear Deformation Setups for Evolutionary Design Optimization, Bielefeld: Universität Bielefeld.

  PUB | PDF
   
• [6]
  

  2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2919133

  Richter, A., et al., 2018. Orthogonalization of Linear Representations for Efficient Evolutionary Design Optimization. In H. Aguirre, ed. Proceedings of the Genetic and Evolutionary Computation Conference. New York: ACM, pp. 1356-1363.

  PUB
   
• [5]
  

  2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2914957

  Hülsmann, F., et al., 2017. Accurate online alignment of human motor performances. In Proceedings of ACM Motion in Games. Barcelona: ACM, pp. pp. 7:1-7:6.

  PUB | PDF | DOI
   
• [4]
  

  2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2909221

  Richter, A., Menzel, S., & Botsch, M., 2017. Preference-guided Adaptation of Deformation Representations for Evolutionary Design Optimization. In IEEE Congress on Evolutionary Computation. IEEE, pp. 2110-2119.

  PUB
   
• [3]
  

  2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2907834

  Richter, A., et al., 2017. Multi-objective Representation Setups for Deformation-based Design Optimization. In H. Trautmann, ed. Evolutionary Multi-Criterion Optimization: 9th International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings. Lecture Notes in Computer Science. no.10173 Cham: Springer, pp. 514-528.

  PUB
   
• [2]
  

  2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2902698

  Richter, A., et al., 2016. Evolvability as a Quality Criterion for Linear Deformation Representations in Evolutionary Optimization. In IEEE Congress on Evolutionary Computation. IEEE.

  PUB
   
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  2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2733258

  Richter, A., Botsch, M., & Menzel, S., 2015. Evolvability of Representations in Complex System Engineering: a Survey. In IEEE Congress on Evolutionary Computation. IEEE, pp. 1327-1335.

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