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staff:kalkreuth [2021-09-29 15:45]
Roman Kalkreuth
staff:kalkreuth [2022-06-25 14:49] (current)
Roman Kalkreuth [Roman Kalkreuth]
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 | Phone: | +49 231 755-7714 | | Phone: | +49 231 755-7714 |
 | Fax: | +49 231 755 7740 | | Fax: | +49 231 755 7740 |
-| E-Mail: | vorname.nachname{{:​staff:​at.gif|}}tu-dortmund.de ​ |+| E-Mail: | roman.kalkreuth(at)tu-dortmund.de ​ |
  
-Curriculum Vitae {{ :​staff:​kalkreuth:​cv_roman_kalkreuth.pdf |cv_roman_kalkreuth.pdf}}+Curriculum Vitae{{ :​staff:​kalkreuth:​cv-roman-kalkreuth.pdf |cv_roman_kalkreuth.pdf}}
  
 ORCiD: [[https://​orcid.org/​0000-0003-1449-5131 | 0000-0003-1449-5131]] ORCiD: [[https://​orcid.org/​0000-0003-1449-5131 | 0000-0003-1449-5131]]
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 ===== Publications ===== ===== Publications =====
  
-R. Kalkreuth: An Empirical Study on Insertion and Deletion Mutation in Cartesian Genetic Programming,​ Studies in Computational+L. Sotto, P. Kaufmann, T. Atkinson, R. Kalkreuth, M. Porto Basgalupp: Graph representations in genetic programming”,​ Genetic Programming and Evolvable Machines, Springer, 2021 
 + 
 +R. Kalkreuth: An Empirical Study on Insertion and Deletion Mutation in Cartesian Genetic Programming, ​In Studies in Computational
 Intelligence 922, Springer Nature Switzerland 2021 Intelligence 922, Springer Nature Switzerland 2021
  
-R. Kalkreuth: A Comprehensive Study on Subgraph Crossover in Cartesian Genetic Programming,​ Proceedings of the 12th International Joint Conference on Computational Intelligence (IJCCI 2020), 2020+R. Kalkreuth: A Comprehensive Study on Subgraph Crossover in Cartesian Genetic Programming, ​In Proceedings of the 12th International Joint Conference on Computational Intelligence (IJCCI 2020), 2020
  
-L. Sotto, P. Kaufmann, T. Atkinson, R. Kalkreuth, and M. Basgalupp. A Study on Graph Representations for Genetic Programming. In Genetic and Evolutionary Computation ​(GECCO). Accepted as full paper for publication in GECCO conference proceedings. ​ACM, 2020.+L. Sotto, P. Kaufmann, T. Atkinson, R. Kalkreuth, and M. Basgalupp. A Study on Graph Representations for Genetic Programming. In GECCO '20, Annual ​Genetic and Evolutionary Computation ​Conference, ​ACM, 2020.
  
-P. Kaufmann and R. Kalkreuth. On the Parameterization of Cartesian Genetic Programming. In IEEE Congress on Evolutionary Computation (CEC). ​Accepted as full paper for publication in the conference proceedings. IEEE, 2020.+P. Kaufmann and R. Kalkreuth. On the Parameterization of Cartesian Genetic Programming. In IEEE Congress on Evolutionary Computation (CEC). . Proceedings of 2020 IEEE Congress on Evolutionary Computation (CEC 2020),IEEE, 2020.
  
 R. Kalkreuth: Two New Mutation Techniques for Cartesian R. Kalkreuth: Two New Mutation Techniques for Cartesian
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-J. Husa and R. Kalkreuth: A Comparative Study on Crossover in Cartesian Genetic Programming,​ in Proceedings of the 21th European Conference on Genetic Programming (EuroGP 2018), 4 - 6 April 2018, Parma (Italy).+J. Husa and R. Kalkreuth: A Comparative Study on Crossover in Cartesian Genetic Programming,​ in Proceedings of the 21th European Conference on Genetic Programming (EuroGP 2018), 4 - 6 April 2018, Parma (Italy)
  
-P. Kaufmann and R. Kalkreuth: Parametrizing Cartesian Genetic Programming:​ An Empirical Study , in GECCO '17 Companion, Annual Genetic and Evolutionary Computation Conference, Berlin, 2017+P. Kaufmann and R. Kalkreuth: Parametrizing Cartesian Genetic Programming:​ An Empirical Study , in GECCO '17 Companion, Annual Genetic and Evolutionary Computation Conference, Berlin ​(Germany), 2017
  
  
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 R. Kalkreuth, G. Rudolph, and A. Droschinsky:​ A New Subgraph Crossover for Cartesian Genetic Programming , accepted for publication in Proceedings of the 20th European Conference on Genetic Programming (EuroGP 2017), 19 - 21 April 2017, Amsterdam (The Netherlands). ​ R. Kalkreuth, G. Rudolph, and A. Droschinsky:​ A New Subgraph Crossover for Cartesian Genetic Programming , accepted for publication in Proceedings of the 20th European Conference on Genetic Programming (EuroGP 2017), 19 - 21 April 2017, Amsterdam (The Netherlands). ​
  
-R. Kalkreuth, G. Rudolph, and J. Krone: More Efficient Evolution of Small Genetic Programs in Cartesian Genetic Programming by Using Genotypic Age, Proceedings of 2016 IEEE Congress on Evolutionary Computation (CEC 2016), 25 - 29 July 2016, Vancouver (Canada)+R. Kalkreuth, G. Rudolph, and J. Krone: More Efficient Evolution of Small Genetic Programs in Cartesian Genetic Programming by Using Genotypic Age, Proceedings of 2016 IEEE Congress on Evolutionary Computation (CEC 2016), 25 - 29 July 2016, Vancouver (Canada)
  
 R. Kalkreuth, G. Rudolph and J. Krone: Improving Convergence in Cartesian Genetic Programming Using Adaptive R. Kalkreuth, G. Rudolph and J. Krone: Improving Convergence in Cartesian Genetic Programming Using Adaptive
 
Last modified: 2021-09-29 15:45 by Roman Kalkreuth
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