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ORCIDRoman Kalkreuth
Person information
- affiliation: Sorbonne University, Lip6, Paris, France
- affiliation: Leiden University, The Netherlands
- affiliation (PhD 2021): Technical University of Dortmund, Germany
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2020 – today
- 2024
[c21]Kirill Antonov
, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Niki van Stein, Anna V. Kononova:
A Functional Analysis Approach to Symbolic Regression. GECCO 2024- [c20]Roman Kalkreuth, Thomas Bäck:
CGP++ : A Modern C++ Implementation of Cartesian Genetic Programming. GECCO 2024 - [i5]Kirill Antonov, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Niki van Stein, Anna V. Kononova:
A Functional Analysis Approach to Symbolic Regression. CoRR abs/2402.06299 (2024) - [i4]Roman Kalkreuth, Thomas Bäck:
CGP++ : A Modern C++ Implementation of Cartesian Genetic Programming. CoRR abs/2406.09038 (2024) - 2023
- [j2]Thomas H. W. Bäck, Anna V. Kononova, Bas van Stein, Hao Wang, Kirill A. Antonov, Roman T. Kalkreuth, Jacob de Nobel, Diederick Vermetten, Roy de Winter, Furong Ye:
Evolutionary Algorithms for Parameter Optimization - Thirty Years Later. Evol. Comput. 31(2): 81-122 (2023) - [c19]Roman Kalkreuth, Zdenek Vasícek, Jakub Husa, Diederick Vermetten, Furong Ye, Thomas Bäck:
General Boolean Function Benchmark Suite. FOGA 2023: 84-95 - [c18]Roman Kalkreuth, Zdenek Vasícek, Jakub Husa, Diederick Vermetten, Furong Ye, Thomas Bäck:
Towards a General Boolean Function Benchmark Suite. GECCO Companion 2023: 591-594 - [c17]Fu Xing Long, Diederick Vermetten, Anna V. Kononova, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Niki van Stein:
Challenges of ELA-Guided Function Evolution Using Genetic Programming. IJCCI 2023: 119-130 - [d1]Fu Xing Long, Diederick Vermetten, Anna V. Kononova, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Niki van Stein:
Challenges of ELA-based Function Evolution using Genetic Programming - Reproducability files. Zenodo, 2023
- [i3]Fu Xing Long, Diederick Vermetten, Anna V. Kononova, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Niki van Stein:
Challenges of ELA-guided Function Evolution using Genetic Programming. CoRR abs/2305.15245 (2023) - 2022
- [c16]Marco Pleines, Konstantin Ramthun, Yannik Wegener, Hendrik Meyer, Matthias Pallasch, Sebastian Prior, Jannik Drögemüller, Leon Büttinghaus, Thilo Röthemeyer, Alexander Kaschwig, Oliver Chmurzynski, Frederik Rohkrähmer, Roman Kalkreuth, Frank Zimmer, Mike Preuss:
On the Verge of Solving Rocket League using Deep Reinforcement Learning and Sim-to-sim Transfer. CoG 2022: 253-260 - [c15]Roman Kalkreuth:
Phenotypic duplication and inversion in cartesian genetic programming applied to boolean function learning. GECCO Companion 2022: 566-569 - [c14]Roman Kalkreuth, Léo Françoso Dal Piccol Sotto, Zdenek Vasícek:
Graph-based genetic programming. GECCO Companion 2022: 958-982 - [c13]Roman Kalkreuth:
Towards Phenotypic Duplication and Inversion in Cartesian Genetic Programming. IJCCI 2022: 50-61 - [c12]Roman Kalkreuth:
Towards Discrete Phenotypic Recombination in Cartesian Genetic Programming. PPSN (2) 2022: 63-77 - [i2]Marco Pleines, Konstantin Ramthun, Yannik Wegener, Hendrik Meyer, Matthias Pallasch, Sebastian Prior, Jannik Drögemüller, Leon Büttinghaus, Thilo Röthemeyer, Alexander Kaschwig, Oliver Chmurzynski, Frederik Rohkrähmer, Roman Kalkreuth, Frank Zimmer, Mike Preuss:
On the Verge of Solving Rocket League using Deep Reinforcement Learning and Sim-to-sim Transfer. CoRR abs/2205.05061 (2022) - 2021
- [b1]Roman Kalkreuth:
Reconsideration and extension of Cartesian genetic programming. Technical University of Dortmund, Germany, 2021 - [j1]Léo Françoso Dal Piccol Sotto, Paul Kaufmann, Timothy Atkinson, Roman Kalkreuth, Márcio Porto Basgalupp:
Graph representations in genetic programming. Genet. Program. Evolvable Mach. 22(4): 607-636 (2021) - 2020
- [c11]Paul Kaufmann, Roman Kalkreuth:
On the Parameterization of Cartesian Genetic Programming. CEC 2020: 1-8 - [c10]Léo Françoso Dal Piccol Sotto, Paul Kaufmann, Timothy Atkinson, Roman Kalkreuth, Márcio Porto Basgalupp:
A study on graph representations for genetic programming. GECCO 2020: 931-939 - [c9]Roman Kalkreuth:
A Comprehensive Study on Subgraph Crossover in Cartesian Genetic Programming. IJCCI 2020: 59-70
2010 – 2019
- 2019
- [c8]Roman Kalkreuth:
Two New Mutation Techniques for Cartesian Genetic Programming. IJCCI 2019: 82-92 - [c7]Roman Kalkreuth, Andre Droschinsky:
On the Time Complexity of Simple Cartesian Genetic Programming. IJCCI 2019: 172-179 - 2018
- [c6]Jakub Husa, Roman Kalkreuth:
A Comparative Study on Crossover in Cartesian Genetic Programming. EuroGP 2018: 203-219 - [i1]Roman Kalkreuth:
Towards Advanced Phenotypic Mutations in Cartesian Genetic Programming. CoRR abs/1803.06127 (2018) - 2017
- [c5]Roman Kalkreuth, Günter Rudolph, Andre Droschinsky:
A New Subgraph Crossover for Cartesian Genetic Programming. EuroGP 2017: 294-310 - [c4]Paul Kaufmann, Roman Kalkreuth:
An empirical study on the parametrization of cartesian genetic programming. GECCO (Companion) 2017: 231-232 - [c3]Paul Kaufmann, Roman Kalkreuth:
Parametrizing Cartesian Genetic Programming: An Empirical Study. KI 2017: 316-322 - 2016
- [c2]Roman Kalkreuth, Günter Rudolph, Jörg Krone:
More efficient evolution of small genetic programs in Cartesian Genetic Programming by using genotypie age. CEC 2016: 5052-5059 - 2015
- [c1]Roman Kalkreuth, Günter Rudolph, Jörg Krone:
Improving Convergence in Cartesian Genetic Programming Using Adaptive Crossover, Mutation and Selection. SSCI 2015: 1415-1422
Coauthor Index
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