Roman Kalkreuth

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 26

Top Topics

Benchmark Suite

Symbolic Regression

Genetic Programming

Log Polar Mapping

Top Venues

GECCO Companion

Publications

Kirill Antonov, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Niki van Stein, Anna V. Kononova
A Functional Analysis Approach to Symbolic Regression. CoRR (2024)
Kirill Antonov, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Niki van Stein, Anna V. Kononova
A Functional Analysis Approach to Symbolic Regression. GECCO (2024)
Roman Kalkreuth, Thomas Bäck
CGP++ : A Modern C++ Implementation of Cartesian Genetic Programming. CoRR (2024)
Roman Kalkreuth, Thomas Bäck
CGP++ : A Modern C++ Implementation of Cartesian Genetic Programming. GECCO (2024)
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)
Roman Kalkreuth, Zdenek Vasícek, Jakub Husa, Diederick Vermetten, Furong Ye, Thomas Bäck
General Boolean Function Benchmark Suite. FOGA (2023)
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 (2023)
Roman Kalkreuth, Zdenek Vasícek, Jakub Husa, Diederick Vermetten, Furong Ye, Thomas Bäck
Towards a General Boolean Function Benchmark Suite. GECCO Companion (2023)
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 (2022)
Roman Kalkreuth
Towards Discrete Phenotypic Recombination in Cartesian Genetic Programming. PPSN (2) (2022)
Roman Kalkreuth, Léo Françoso Dal Piccol Sotto, Zdenek Vasícek
Graph-based genetic programming. GECCO Companion (2022)
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)
Roman Kalkreuth
Phenotypic duplication and inversion in cartesian genetic programming applied to boolean function learning. GECCO Companion (2022)
Roman Kalkreuth
Towards Phenotypic Duplication and Inversion in Cartesian Genetic Programming. IJCCI (2022)
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) (2021)
Paul Kaufmann, Roman Kalkreuth
On the Parameterization of Cartesian Genetic Programming. CEC (2020)
Léo Françoso Dal Piccol Sotto, Paul Kaufmann, Timothy Atkinson, Roman Kalkreuth, Márcio Porto Basgalupp
A study on graph representations for genetic programming. GECCO (2020)
Roman Kalkreuth
A Comprehensive Study on Subgraph Crossover in Cartesian Genetic Programming. IJCCI (2020)
Roman Kalkreuth, Andre Droschinsky
On the Time Complexity of Simple Cartesian Genetic Programming. IJCCI (2019)
Roman Kalkreuth
Two New Mutation Techniques for Cartesian Genetic Programming. IJCCI (2019)
Jakub Husa, Roman Kalkreuth
A Comparative Study on Crossover in Cartesian Genetic Programming. EuroGP (2018)
Roman Kalkreuth
Towards Advanced Phenotypic Mutations in Cartesian Genetic Programming. CoRR (2018)
Roman Kalkreuth, Günter Rudolph, Andre Droschinsky
A New Subgraph Crossover for Cartesian Genetic Programming. EuroGP (2017)
Paul Kaufmann, Roman Kalkreuth
An empirical study on the parametrization of cartesian genetic programming. GECCO (Companion) (2017)
Paul Kaufmann, Roman Kalkreuth
Parametrizing Cartesian Genetic Programming: An Empirical Study. KI (2017)
Roman Kalkreuth, Günter Rudolph, Jörg Krone
More efficient evolution of small genetic programs in Cartesian Genetic Programming by using genotypie age. CEC (2016)
Roman Kalkreuth, Günter Rudolph, Jörg Krone
Improving Convergence in Cartesian Genetic Programming Using Adaptive Crossover, Mutation and Selection. SSCI (2015)