7 Publikationen

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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., Dresselhaus, S., Menzel, S., & Botsch, M. (2018). Orthogonalization of Linear Representations for Efficient Evolutionary Design Optimization. In H. Aguirre (Ed.), Proceedings of the Genetic and Evolutionary Computation Conference (pp. 1356-1363). New York: ACM.
PUB
 
[5]
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2909221
Richter, A., Menzel, S., & Botsch, M. (2017). Preference-guided Adaptation of Deformation Representations for Evolutionary Design Optimization. IEEE Congress on Evolutionary Computation, 2110-2119. IEEE.
PUB
 
[4]
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2914957
Hülsmann, F., Richter, A., Kopp, S., & Botsch, M. (2017). Accurate online alignment of human motor performances. Proceedings of ACM Motion in Games, pp. 7:1-7:6. Barcelona: ACM. doi:10.1145/3136457.3136470
PUB | PDF | DOI
 
[3]
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2907834
Richter, A., Achenbach, J., Menzel, S., & Botsch, M. (2017). Multi-objective Representation Setups for Deformation-based Design Optimization. In H. Trautmann (Ed.), Lecture Notes in Computer Science: Vol. 10173. Evolutionary Multi-Criterion Optimization: 9th International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings (pp. 514-528). Cham: Springer.
PUB
 
[2]
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2902698
Richter, A., Achenbach, J., Menzel, S., & Botsch, M. (2016). Evolvability as a Quality Criterion for Linear Deformation Representations in Evolutionary Optimization. IEEE Congress on Evolutionary Computation
PUB
 
[1]
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2733258
Richter, A., Botsch, M., & Menzel, S. (2015). Evolvability of Representations in Complex System Engineering: a Survey. IEEE Congress on Evolutionary Computation, 1327-1335
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7 Publikationen

Alle markieren

[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., Dresselhaus, S., Menzel, S., & Botsch, M. (2018). Orthogonalization of Linear Representations for Efficient Evolutionary Design Optimization. In H. Aguirre (Ed.), Proceedings of the Genetic and Evolutionary Computation Conference (pp. 1356-1363). New York: ACM.
PUB
 
[5]
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2909221
Richter, A., Menzel, S., & Botsch, M. (2017). Preference-guided Adaptation of Deformation Representations for Evolutionary Design Optimization. IEEE Congress on Evolutionary Computation, 2110-2119. IEEE.
PUB
 
[4]
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2914957
Hülsmann, F., Richter, A., Kopp, S., & Botsch, M. (2017). Accurate online alignment of human motor performances. Proceedings of ACM Motion in Games, pp. 7:1-7:6. Barcelona: ACM. doi:10.1145/3136457.3136470
PUB | PDF | DOI
 
[3]
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2907834
Richter, A., Achenbach, J., Menzel, S., & Botsch, M. (2017). Multi-objective Representation Setups for Deformation-based Design Optimization. In H. Trautmann (Ed.), Lecture Notes in Computer Science: Vol. 10173. Evolutionary Multi-Criterion Optimization: 9th International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings (pp. 514-528). Cham: Springer.
PUB
 
[2]
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2902698
Richter, A., Achenbach, J., Menzel, S., & Botsch, M. (2016). Evolvability as a Quality Criterion for Linear Deformation Representations in Evolutionary Optimization. IEEE Congress on Evolutionary Computation
PUB
 
[1]
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2733258
Richter, A., Botsch, M., & Menzel, S. (2015). Evolvability of Representations in Complex System Engineering: a Survey. IEEE Congress on Evolutionary Computation, 1327-1335
PUB
 

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