| A comparative study on crossover in cartesian genetic programming J Husa, R Kalkreuth Genetic Programming: 21st European Conference, EuroGP 2018, Parma, Italy …, 2018 | 43 | 2018 |
| A new subgraph crossover for cartesian genetic programming R Kalkreuth, G Rudolph, A Droschinsky Genetic Programming: 20th European Conference, EuroGP 2017, Amsterdam, The …, 2017 | 34 | 2017 |
| COVID-19: a survey on public medical imaging data resources R Kalkreuth, P Kaufmann arXiv preprint arXiv:2004.04569, 2020 | 26 | 2020 |
| Graph representations in genetic programming L Françoso Dal Piccol Sotto, P Kaufmann, T Atkinson, R Kalkreuth, ... Genetic Programming and Evolvable Machines 22 (4), 607-636, 2021 | 23 | 2021 |
| Evolutionary algorithms for parameter optimization—thirty years later THW Bäck, AV Kononova, B van Stein, H Wang, KA Antonov, ... Evolutionary Computation 31 (2), 81-122, 2023 | 16 | 2023 |
| A study on graph representations for genetic programming LFDP Sotto, P Kaufmann, T Atkinson, R Kalkreuth, MP Basgalupp Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 931-939, 2020 | 13 | 2020 |
| Improving convergence in cartesian genetic programming using adaptive crossover, mutation and selection R Kalkreuth, G Rudolph, J Krone 2015 IEEE Symposium Series on Computational Intelligence, 1415-1422, 2015 | 13 | 2015 |
| A Comprehensive Study on Subgraph Crossover in Cartesian Genetic Programming. R Kalkreuth IJCCI, 59-70, 2020 | 11 | 2020 |
| Parametrizing cartesian genetic programming: An empirical study P Kaufmann, R Kalkreuth KI 2017: Advances in Artificial Intelligence: 40th Annual German Conference …, 2017 | 11 | 2017 |
| Two New Mutation Techniques for Cartesian Genetic Programming. R Kalkreuth IJCCI, 82-92, 2019 | 9 | 2019 |
| More efficient evolution of small genetic programs in Cartesian Genetic Programming by using genotypie age R Kalkreuth, G Rudolph, J Krone 2016 IEEE Congress on Evolutionary Computation (CEC), 5052-5059, 2016 | 9 | 2016 |
| On the parameterization of cartesian genetic programming P Kaufmann, R Kalkreuth 2020 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2020 | 8 | 2020 |
| An empirical study on the parametrization of cartesian genetic programming P Kaufmann, R Kalkreuth Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2017 | 8 | 2017 |
| Challenges of ELA-guided function evolution using genetic programming FX Long, D Vermetten, AV Kononova, R Kalkreuth, K Yang, T Bäck, ... arXiv preprint arXiv:2305.15245, 2023 | 6 | 2023 |
| Genetic programming benchmarks: looking back and looking forward J McDermott, G Kronberger, P Orzechowski, L Vanneschi, L Manzoni, ... ACM SIGEVOlution 15 (3), 1-19, 2022 | 6 | 2022 |
| Phenotypic duplication and inversion in cartesian genetic programming applied to boolean function learning R Kalkreuth Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2022 | 5 | 2022 |
| An empirical study on insertion and deletion mutation in cartesian genetic programming R Kalkreuth Computational Intelligence: 11th International Joint Conference, IJCCI 2019 …, 2021 | 5 | 2021 |
| On the Time Complexity of Simple Cartesian Genetic Programming. R Kalkreuth, A Droschinsky IJCCI, 172-179, 2019 | 5 | 2019 |
| Reconsideration and extension of Cartesian genetic programming. R Kalkreuth Technical University of Dortmund, Germany, 2021 | 4 | 2021 |
| Towards advanced phenotypic mutations in cartesian genetic programming R Kalkreuth arXiv preprint arXiv:1803.06127, 2018 | 4 | 2018 |
