PUB - Publikationen an der Universität Bielefeld

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• [7]
  

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

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

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• [6]
  

  2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2919133

  Richter A, Dresselhaus N, Menzel S, Botsch M. Orthogonalization of Linear Representations for Efficient Evolutionary Design Optimization. In: Aguirre H, ed. Proceedings of the Genetic and Evolutionary Computation Conference. New York: ACM; 2018: 1356-1363.

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• [5]
  

  2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2914957

  Hülsmann F, Richter A, Kopp S, Botsch M. Accurate online alignment of human motor performances. In: Proceedings of ACM Motion in Games. Barcelona: ACM; 2017: pp. 7:1-7:6.

  PUB | PDF | DOI
   
• [4]
  

  2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2909221

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

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• [3]
  

  2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2907834

  Richter A, Achenbach J, Menzel S, Botsch M. Multi-objective Representation Setups for Deformation-based Design Optimization. In: Trautmann H, ed. Evolutionary Multi-Criterion Optimization: 9th International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings. Lecture Notes in Computer Science. Vol 10173. Cham: Springer; 2017: 514-528.

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• [2]
  

  2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2902698

  Richter A, Achenbach J, Menzel S, Botsch M. Evolvability as a Quality Criterion for Linear Deformation Representations in Evolutionary Optimization. In: IEEE Congress on Evolutionary Computation. IEEE; 2016.

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• [1]
  

  2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2733258

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

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